Company DescriptionAt Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results....

Headquarters: San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States

We’re looking for a Customer Support Systems & Analytics Architect to own the data strategy and reporting function within the Customer Support organisation at Mercury. As our operations grow in complexity—spanning multiple channels, an expanding BPO model, and sophisticated AI automation—we are moving away from fragmented, project-based data support toward a model of holistic ownership.

In this role, you will be responsible for how we capture, structure, and connect data across our CS systems - including Zendesk and our AI Agent - to drive informed decision-making across the team. You will ensure our systems are configured in a way that produces reliable, high-quality data, and you will translate that data into actionable insights for CS leadership and stakeholders. You’ll sit at the intersection of data, operations, and customer experience, partnering closely with CS leadership, Strategy and Ops, and cross-functional teams like Data to make sure our reporting infrastructure is built to scale. Your work will be foundational to how the CS organisation measures performance, identifies opportunities, and drives decision-making.

 

Key Responsibilities

• Unified reporting and analytics: Actively build and maintain reports and dashboards that give the CS organisation clear visibility into key performance metrics, trends, and performance across channels, teams and projects  - from our internal Support team to our BPO partners. 
• CS Systems configuration and data governance: Work closely with systems admins to advise on the structural setup of our Zendesk instance across customer-facing teams, ensuring it is configured to generate clean, consistent, and reliable data while maintaining secure systems and efficient workflows.
• Data hygiene standards: Define and enforce standards for how data is captured across CS systems so that reporting is accurate, trustworthy, and reproducible
• AI automation data oversight: Monitor and analyse data from our AI chatbot, ensuring it is tracked in a way that supports quality reviews and decision-making across the CS organisation
• Insights to action: Translate raw data and reporting into clear recommendations that help CS leadership make decisions on resourcing, tooling, process improvements, and strategy
• Stakeholder support: Partner with cross-functional partners in areas like Product, Data and Strategic Finance to understand their data needs and deliver reporting that supports their goals
• Systems evaluation: Assess the data capabilities of existing and new CS tools, and make recommendations on how to optimise our systems stack for better reporting outcomes
• Process documentation: Document data structures, reporting methodologies, and system configurations to ensure institutional knowledge is retained and accessible across the team

What You Bring to the Table

• 5-8 years of experience in a data analyst, business intelligence, or systems analyst role, ideally within a customer support or operations environment
• Hands-on experience with Zendesk administration and configuration, including views, fields, triggers, and reporting, as well as using Zendesk Analytics to build reports and dashboards
• Fluency in SQL and experience working with data and BI tools such as Omni, Metabase, or similar
• Strong analytical thinking with the ability to turn complex datasets into clear, actionable insights
• Experience building and maintaining dashboards and reports for non-technical stakeholders
• Deep understanding of data hygiene principles and how system configuration impacts data quality
• Excellent communication skills, with the ability to present data findings clearly to stakeholders at all levels
• Collaborative mindset with experience working cross-functionally across teams such as Operations, Product, and Engineering

The Ideal Candidate Will Also Have

• Experience working with AI chatbot or conversational analytics platforms
• Familiarity with other CS tools such as Intercom, Guru, or Rippit (formerly known as MaestroQA)
• Experience working in a high-growth SaaS or fintech environment
• Background in supporting data-driven workforce planning or CS strategy initiatives

 

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $154,200 - $192,800
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $138,800 - $173,500
• Canadian employees (any location): CAD $145,800 - $182,200

 

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

#LI-AS1

 

To apply: https://weworkremotely.com/remote-jobs/mercury-customer-support-systems-analytics-architect

About Mixpanel

Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com.

About the Team

The Proactive Insights team is a newly formed team at the center of Mixpanel’s AI-first analytics vision. With a greenfield charter, we’re building the intelligent layer that transforms Mixpanel from a tool you query into a partner that works for you.

We answer the question every data-driven team asks: “What changed, why, and what should I do about it?” We proactively keep users informed about what matters in their data, delivering the right insights and recommendations at the right time, to the right places, both inside and outside of Mixpanel.

Some examples of what we are building:

• Signals: Statistical analysis that automatically identifies which user behaviors cause downstream business outcomes — such as which actions genuinely improve 30-day retention — using causal inference to move beyond correlation
• Forecasting: Time-series modeling that projects whether a KPI (e.g. Signups) will hit its goal by end of quarter — including trend decomposition, seasonality adjustment, and confidence bands against a target.
• Simulation: Causal impact modeling that estimates how moving one metric (e.g. weekly sharing rate) by a given amount will ripple through to downstream KPIs like retention or revenue — giving teams a quantified basis for prioritization
• Cohort Detection: Automated identification of at-risk user cohorts by finding active users who resemble known churned segments across both behavioral patterns and descriptive characteristics, before they churn. Offline batch survival analysis models that estimate each user’s probability of a future outcome (e.g. likelihood to churn or convert within 30 days).

About the Role

As the first Data Scientist embedded in product engineering, you’ll champion integrating cutting-edge data science techniques into Mixpanel’s products and serve as a methodological resource for cross-functional teams tackling problems that benefit from deeper DS expertise — such as adaptive experimentation. You won’t just advise on Proactive Insights; you’ll be the analytical brain driving how Signals, Forecasting, Simulation, Predictions, and Cohort Detection actually work.

Your models are the reasoning layer behind an AI system that proactively tells customers what changed, why, and what to do next — and increasingly, the layer behind an agent that acts on their behalf. As more of this experience becomes agentic, rigorous causal grounding is what separates a trustworthy recommendation from a plausible-sounding one. You’ll be the person who makes sure it’s the former.

You’ll design and validate causal inference approaches that go beyond surface-level correlation, and partner on how those outputs get translated — often via LLMs — into clear, natural-language, actionable experiences for Mixpanel’s customers: you own the rigor, the system owns the explanation. You’ll partner closely with strong product engineers who own the implementation — your job is to make sure the methodology is rigorous, well-documented, and grounded in real outcomes. You’ll also collaborate cross-functionally with teams like AI platform, analysis, and data infrastructure to scale your analytic solutions beyond what you could build alone.

This is a high-impact, high-autonomy role on a small, fast-moving team. You’ll have significant influence over the analytical direction of a new product category at Mixpanel that helps thousands of companies understand what truly drives their most important metrics.

Responsibilities

• Own the end-to-end analytical design for Signals, Forecasting, Simulation, and Cohort Detection — including methodology selection, statistical validation, and iteration based on results
• Assess data quality and trust prerequisites before extending forecasting or predictive features to customers — a model is only as trustworthy as the data feeding it
• Design and apply causal inference methods to move beyond correlation and establish which user behaviors genuinely drive downstream business outcomes
• Build and own time-series forecasting models that project KPI trajectories against goals — extending our existing use of TimesFM into customer-facing forecasting features
• Build survival analysis and retention models that underpin Signals and Simulation outputs
• Develop clustering and behavioral similarity approaches for Cohort Detection that are both statistically sound and interpretable to end users
• Document methodology clearly — including assumptions, validation approaches, and expected output behavior — so engineers can implement reliably without ambiguity
• Review and validate that production results match expected statistical behavior, partnering with engineers on edge cases and anomalies
• Establish rigor around statistical significance, multiple testing correction, and uncertainty quantification so customers can trust what they see
• Work cross-functionally with internal stakeholders, including Finance and Data Science, to ensure analytical outputs are grounded in real business outcomes
• Communicate findings and methodology clearly to Product and Engineering — translating statistical concepts into plain language

We’re Looking For Someone Who Has

• MS or PhD in Statistics, Economics, Mathematics, or a related quantitative field — or equivalent industry experience with demonstrated causal inference expertise
• 5+ years of experience applying statistical modeling to real-world product or business problems
• Hands-on causal inference experience — propensity score matching, regression discontinuity, difference-in-differences, or instrumental variables — with the judgment to choose the right method for a given problem
• Experience with survival analysis or retention modeling (e.g. Cox proportional hazards, Kaplan-Meier)
• Strong Python fluency across the analytical stack — statsmodels, scikit-learn, pandas, and equivalent libraries for survival analysis, clustering, and time-series modeling
• Experience with time-series forecasting methods — classical approaches (ARIMA, exponential smoothing) and/or modern foundation models such as TimesFM, Chronos, or similar
• Experience with clustering and similarity methods applied to behavioral or user data
• Strong statistical communication — you can explain a propensity score or a survival curve to a PM without losing them
• SQL fluency for data access, exploration, and validation
• Comfort working in a product environment where analytical rigor and practical delivery go hand in hand

Bonus Points For

• Experience working with large-scale behavioral event data (product analytics, growth, or similar domains)
• Familiarity with feature engineering from raw event streams
• Experience with structural equation modeling or causal DAGs for multi-metric impact modeling (directly applicable to Simulation)
• Familiarity with how offline batch analyses are productionized, even if you’re not implementing them yourself
• Comfort working directly in a production codebase alongside engineers
• Experience at an analytics, observability, or growth platform
• Experience evaluating or grounding LLM-generated explanations or recommendations against statistical outputs (e.g. hallucination or consistency checks on AI-generated insights)
• Comfort using AI coding tools (Claude Code, Cursor, etc.) to accelerate modeling iteration

Compensation

The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.

Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.

Mixpanel Compensation Range

$226,000—$266,000 USD

Benefits and Perks

• Comprehensive Medical, Vision, and Dental Care
• Mental Wellness Benefit
• Generous Vacation Policy & Additional Company Holidays
• Enhanced Parental Leave
• Volunteer Time Off
• Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

*please note that benefits and perks for contract positions will vary*

Culture Values

• Make Bold Bets: We choose courageous action over comfortable progress.
• Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.
• One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.
• Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.
• Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.
• Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M invested from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.

Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission to make the internet better for people.

The Mozilla Corporation is wholly owned by the non-profit 501© Mozilla Foundation. This means we aren’t beholden to any shareholders—only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

About this team and role:

The Data Science organization shapes Mozilla’s most important business decisions through data. As a Senior Staff (P5) Data Scientist, you will be an analytical leader, partnering with senior executives to turn ambiguity into clear, data-driven recommendations that influence Mozilla’s long-term strategy.

What you’ll do:

• Strategic Influence: Shape Mozilla’s most important business decisions with rigorous, data-driven insights. Turn ambiguity into clear recommendations that influence executive thinking and long-term strategy.
• Trusted Partnerships: Build trusted relationships with senior leaders and cross-functional partners. Surface tradeoffs, align stakeholders with differing perspectives, and help teams make better, faster decisions.
• Technical Excellence: Design and deliver sophisticated analytical solutions to solve complex, ambiguous problems involving large-scale, high-dimensional data. Set a high technical bar through sound methodology, statistical rigor, and pragmatic execution.
• Mentorship and Growth: Serve as a technical leader within the Data Science community. Mentor data scientists, advise managers on technical direction, and elevate the quality of analytical work across the organization.

What you’ll bring:

• Exceptional Communication: Outstanding verbal and written communication skills, with the ability to translate complex technical findings into clear, decision-ready recommendations while preserving analytical rigor. Proven success communicating effectively with both technical and executive audiences.
• Influence Without Authority: A track record of driving alignment across cross-functional teams, earning trust through expertise, and leading through influence rather than formal authority. Experience across multiple industries, domains, or problem spaces is a plus.
• Technical Mastery: Deep expertise in Python or R, SQL, statistics, and modern data science tooling. A strong foundation in analytical methods, paired with curiosity for emerging technologies and sound judgment about when to apply them.

What you’ll get:

• Generous performance-based bonus plans to all eligible employees
• Rich medical, dental, and vision coverage
• Generous retirement contributions with 100% immediate vesting
• Quarterly all-company wellness days where everyone takes a pause together
• Country specific holidays plus a day off for your birthday
• One-time home office stipend
• Annual professional development budget
• Quarterly well-being stipend
• Considerable paid parental leave

About Mozilla

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

#LI-REMOTE

Req ID: R3163

Hiring Ranges:

Canada Tier 1 Locations

$191,000—$255,000 CAD

Canada Tier 2 Locations

$173,000—$231,000 CAD

Senior Business Analyst

Requirements Validation • Business Process Analysis • Stakeholder Partnership

Location: Fall Church, VA -  Client Site (Hybrid – onsite 3 days a week)

Clearance: US citizenship and the ability to obtain a DOJ public trust

A Role with Purpose and Impact

Dev Technology is supporting the modernization of a mission-critical scheduling and workflow solution for the federal government. This role exists to ensure that operational needs are understood, validated, prioritized, and translated into requirements that implementation teams can act on with confidence.

You will work closely with Government stakeholders, operational users, architects, developers, testers, and project leadership. The work calls for strong facilitation, disciplined analysis, and the judgment to uncover gaps, conflicts, dependencies, and risks before they become delivery issues.

This role is designed for a senior analyst who values partnership, clarity, and traceability — helping teams move from complex mission needs to practical, testable, and durable solutions.

Requirements Leadership and Operational Delivery

This role blends requirements leadership with hands-on delivery. You will:

• Validate, refine, prioritize, and baseline functional and non-functional requirements for phased implementation
• Facilitate stakeholder workshops to confirm operational workflows such as scheduling, assignment, reassignment, tracking, check-in/check-out, and invoicing
• Identify and document requirement gaps, conflicts, assumptions, dependencies, risks, and in-scope versus out-of-scope system boundaries
• Maintain the requirements traceability matrix and connect business needs to design, configuration, testing, and deployment outcomes
• Partner with technical teams to translate operational needs into workflows, business rules, roles, permissions, interfaces, and acceptance criteria

You will remain close to the work: preparing process models and requirements artifacts, supporting design reviews, coordinating user acceptance testing, and helping resolve defects or ambiguities throughout the delivery lifecycle.

Who Thrives Here

People who thrive in this role bring a thoughtful, grounded approach to delivery. They:

• Listen carefully and create shared understanding across business and technical audiences
• Ask thoughtful questions and surface missing information early
• Bring structure to ambiguity without losing sight of real operational needs
• Write clearly and maintain disciplined, usable requirements documentation
• Build trust through preparation, follow-through, and respectful facilitation
• Are comfortable working in a federal environment with formal reviews and approvals

This role offers the opportunity to shape a high-impact modernization effort from requirements validation through production deployment. You will influence how mission workflows are implemented, tested, and improved while helping Government and delivery teams make informed decisions.

Key Responsibilities

• Review and validate Government-provided business, functional, and non-functional requirements
• Conduct discovery sessions, interviews, workflow reviews, and formal requirements validation meetings
• Document current-state and future-state processes, business rules, use cases, user stories, and acceptance criteria
• Maintain the RTM and requirements baselines throughout the system development lifecycle
• Support configuration and design reviews and track stakeholder issues, concerns, concurrence, and approvals
• Develop or support UAT scenarios, test cases, and real-world operational validation
• Assist with defect triage, retesting, data mapping, migration validation, and operational readiness
• Identify AI-enabled requirements and distinguish optional AI-supported capabilities from core functionality
• Help ensure mission-essential workflows remain fully operable without AI features

Required Qualifications

• 8+ years of progressive business analysis experience supporting complex technology implementations
• Experience developing BRDs, requirements specifications, RTMs, process maps, user stories, use cases, and acceptance criteria
• Demonstrated experience leading stakeholder workshops and requirements reviews
• Experience supporting COTS, SaaS, PaaS, or configurable enterprise solutions
• Working knowledge of Agile, hybrid, and traditional SDLC methodologies
• Strong written communication, facilitation, analytical, and stakeholder-management skills
• Bachelor’s degree in business, information systems, public administration, or a related field, or equivalent experience

Preferred Qualifications

• Experience supporting federal government programs or justice/court operations
• Experience with scheduling, case management, workflow, or resource-assignment systems
• Experience supporting UAT, data migration, integrations, and production cutover
• Business analysis certification such as CBAP, CCBA, PMI-PBA, or equivalent

Our estimated salary range for this position is $76,000 - $140,000. This presented salary range is not a guarantee of compensation or salary. Offered salary is based on experience, geographic location, and possibly contractual requirements as appropriate to the role. *Salary could fall outside of this range.

Who We Are

Dev Technology is a growing IT company with an employee-centric culture that works on mission-critical projects for the federal government. We partner with our federal customers to deliver technology services and solutions, and to drive our client’s missions forward through innovation. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.

As a Washington Post Top Workplace award winner for the past THIRTEEN years in a row, the Top Workplaces USA for the past five years, and a recipient of the Companies As Responsive Employers (CARE) Award for the past six years, Dev Technology employees enjoy:

• Generous and flexible time-off policy
• Flexible work schedules and telework options, including remote work availability for eligible projects
• Career development opportunities including a mentorship program, technical and management training through Dev University, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities
• Industry-leading benefits including a choice of two health plans that include dental and vision, flexible spending account, commuter benefits, life insurance, and more
• 401K matching with a 5% matching contribution
• Regular team and company social events including our annual party, happy hours, fitness challenges, and more
• A focus on community engagement including company wide support activities, employer match for donations, and time off for volunteer efforts
• To learn more about working at Dev Technology, visit Working At Dev Technology Group

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Dev Technology Group operates in the following states: AL, AR, AZ, CO, DC, FL, GA, ID, IL, IN, MD, MA, ME, MI, MN, MO, MS, NC, NJ, OH, OR, PA, SC, TN, TX, VA, WV.

SMS Terms and Privacy Notice

Dev Technology Group offers you the option to engage in SMS text conversations about your job application. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. By opting-in to receiving SMS text messages about your job application, you acknowledge and agree that your consent data, mobile number, and personal information will be collected and stored solely for the purpose of providing you with updates and information related to your job application. No mobile information will be shared with third parties/affiliates for marketing/promotional purposes. All the above categories exclude text messaging originator opt-in data and consent; this information will not be shared with any third parties.

Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission to make the internet better for people.

The Mozilla Corporation is wholly owned by the non-profit 501© Mozilla Foundation. This means we aren’t beholden to any shareholders—only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

About this team and role:

The Data Science organization shapes Mozilla’s most important business decisions through data. As a Senior Staff (P5) Data Scientist, you will be an analytical leader, partnering with senior executives to turn ambiguity into clear, data-driven recommendations that influence Mozilla’s long-term strategy.

What you’ll do:

• Strategic Influence: Shape Mozilla’s most important business decisions with rigorous, data-driven insights. Turn ambiguity into clear recommendations that influence executive thinking and long-term strategy.
• Trusted Partnerships: Build trusted relationships with senior leaders and cross-functional partners. Surface tradeoffs, align stakeholders with differing perspectives, and help teams make better, faster decisions.
• Technical Excellence: Design and deliver sophisticated analytical solutions to solve complex, ambiguous problems involving large-scale, high-dimensional data. Set a high technical bar through sound methodology, statistical rigor, and pragmatic execution.
• Mentorship and Growth: Serve as a technical leader within the Data Science community. Mentor data scientists, advise managers on technical direction, and elevate the quality of analytical work across the organization.

What you’ll bring:

• Exceptional Communication: Outstanding verbal and written communication skills, with the ability to translate complex technical findings into clear, decision-ready recommendations while preserving analytical rigor. Proven success communicating effectively with both technical and executive audiences.
• Influence Without Authority: A track record of driving alignment across cross-functional teams, earning trust through expertise, and leading through influence rather than formal authority. Experience across multiple industries, domains, or problem spaces is a plus.
• Technical Mastery: Deep expertise in Python or R, SQL, statistics, and modern data science tooling. A strong foundation in analytical methods, paired with curiosity for emerging technologies and sound judgment about when to apply them.

What you’ll get:

• Generous performance-based bonus plans to all eligible employees
• Rich medical, dental, and vision coverage
• Generous retirement contributions with 100% immediate vesting
• Quarterly all-company wellness days where everyone takes a pause together
• Country specific holidays plus a day off for your birthday
• One-time home office stipend
• Annual professional development budget
• Quarterly well-being stipend
• Considerable paid parental leave

About Mozilla

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

#LI-REMOTE

Req ID: R3163

Hiring Ranges:

Canada Tier 1 Locations

$191,000—$255,000 CAD

Canada Tier 2 Locations

$173,000—$231,000 CAD

Juvare is a SaaS software company focused on developing innovative enterprise resilience solutions for government agencies, corporations, healthcare providers, and higher education. Juvare solutions have supported over 500,000 emergency response incidents in all 50 states and 20 countries worldwide. Juvare helps our clients prepare, connect, and respond to protect people, property, and brands.

As a Business Analyst at Juvare you’ll put your subject matter expertise and business analysis skills into practice as part of our software implementation and/or product management teams. In this role, you’ll take the lead on defining application and/or workflow requirements with clients, subject matter experts, and other key stakeholders. Through backlog refinement sessions, you’ll write epics and related detailed user stories, translate business requirements into actionable improvement plans, validate solutions meet the client definition of “done.”

Reports to:  Manager – Technical Delivery

Location: Atlanta, GA or Remote USA

Responsibilities:

The Business Analyst will work under the guidance of leadership to perform the following activities:

• Work alongside subject matter experts to develop business and system use cases, functional, non-functional and operational requirements
• Represent the client solution owner in functions including backlog prioritization, feature sequencing, sprint planning/grooming and user acceptance testing; participate in quality control and testing activities
• Elicit and capture business requirements in our software development environment; decomposing and documenting Epics into Features and User Stories down to detailed functional and nonfunctional acceptance criteria
• Work alongside our Project Management Office; assist with operational transition, internal and client training, knowledge transfer and SOP documentation
• Lead or participate in onsite or virtual requirements workshops with clients
• Explore the benefits and challenges of potential technical solutions with clients
• Document the final as-built configuration following completion of implementation, as well as demo end-to-end solutions to clients for acceptance

Qualifications:

• Bachelor’s degree from accredited university or college preferred or equivalent experience
• 5+ years recent experience as a business analyst or similar role writing requirements and developing process flows for custom solutions
• 2+ years’ experience working as a business analysts with Healthcare, US Federal, or Military end clients.
• Experience in consulting, software development and implementations in a client facing role

Skills/ Knowledge Requirements:

Required

• Demonstrated ability to understand complex software workflow platforms and collaborate with technical personnel.
• Desire to understand the emergency and operational management mission of our clients and how our software solutions support its continual improvement
• Excellent verbal and written communication skills
• Excellent interpersonal skills demonstrating collaboration and adaptability
• Ability to organize, plan and manage follow up action
• Familiarity with project management and/or software development tools (e.g., JIRA, Rally, MS Project, Confluence)
• A passion for technology, curiosity to learn new skills/technology with a fail-fast approach
• A passion to provide excellent value to clients

Preferred

• US Federal and/or Military domain knowledge
• Familiarity with standard emergency management practices and ICS and/or prior experience working directly with emergency management agencies
• Ability and willingness to travel 25% (average over course of a year)

What we offer:

• Health Insurance
• Life Insurance
• 401K with Corporate Match
• Tuition Reimbursement
• Expansive Self-Paced and Virtual Training Options
• Unlimited PTO
• Community Volunteer Opportunities
• Monthly Book Club

Additional Information:

This position is subject to compliance with the Export Administration Regulations (“EAR”) and may require a U.S. person status verification.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

EEO Statement

Juvare is deeply committed to building a diverse and inclusive team. We believe in equal opportunity for all applicants and encourage individuals from underrepresented groups in technology to apply. As an equal opportunity employer, we celebrate diversity and are committed to building and maintaining a diverse and inclusive workforce. All qualified applicants and employees will receive consideration for employment regardless of—and will be free from discrimination on account of—their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, physical condition, developmental disability, genetic information, or any other category protected under applicable law.

Any individuals with a disability requiring a reasonable accommodation to assist with their job search or application for employment should send an e-mail to human-resources@juvare.com . The e-mail should include a description of the requested accommodation and the position you’re applying for or interested in.

Affirmative Action: Juvare’s Affirmative Action Plan advances our principles of equal opportunity and supports that goal by enlarging our talent pool.

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: London

About the Team

The Cloudflare Data Intelligence & Analytics (DIA) team has built a unified data & ML platform to provide our internal Business Partners with actionable analytics, insights, and recommendations.

Our goals are to:

• Democratize data & intelligence for humans and agents
• Build a context layer and an AI systems layer upon our unified data & content platform
• Support Cloudflare’s critical business needs

DIA is a ~ 75-member strong geographically distributed but organizationally centralized team. This role is within the growth & adoption analytics pod based in London that works across several business functions, offering broad exposure to Cloudflare’s entire business.

Role Summary

We are looking for an experienced Senior Data Analyst in London to scale our growth & adoption analytics initiatives. You will be a trusted data advisor to our business partners, a technical coach to your peers, and the lead in terms of shaping AI-first data models, workflows, and agent-ready-datasets.

Success in this role will rely on marrying a strong analytics background with product and business acumen to deliver highly strategic and compelling insights that accelerate growth and influence adoption. This role also requires a deep understanding of data infrastructure, job orchestration, and lineage, all with the use of AI-tooling as default.

Role Responsibilities

• Own the development and maintenance of agent-ready curated datasets end-to-end
• Provide analytics support and a strategic perspective to our business partners
• Partner with data engineers, product managers, and stakeholders to enable data-driven answers to key business problems
• Review Merge Requests created by your team of humans and agents
• Take initiative to gather requirements, define, build, and maintain pipelines and metrics
• Tell easily digestible and highly actionable stories with data to help stakeholders understand analytical insights

Role Requirements

• B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
• Demonstrable proficiency with analytics-relevant AI-tooling
• 4+ years experience in a centralized data analytics teams in close partnership with business stakeholders
• Expert-level proficiency in writing and optimizing complex SQL queries is mandatory, with a proven ability to performance-tune complex queries and manage analysis workflows against large, petabyte-scale datasets (Candidates will be assessed on advanced SQL skills including window functions and common table expressions (CTEs))
• 3+ years experience working in version control environments using platforms such as Gitlab or Github
• 2+ years experience working with job orchestration tools like Apache Airflow, both as a pipeline developer and reviewer
• 2+ years experience with data ingestion and transformation frameworks (e.g., dbt, Fivetran, or custom/in-house developed platforms)
• Initiative, curiosity, strong stakeholder engagement, and empathy
• Experience translating business questions into analysis frameworks, converting results into business recommendations, and presenting those to stakeholders

Nice-to-Have Experience

• Experience and/or a keen interest in internet security, protocols, and edge-development
• Analytics experience in a fast-growing technology, SaaS, or subscription-based business
• Experience with statistical analysis programming languages (Python, R etc.)

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Job Overview

We are looking for a hands-on analytics leader to join our Product team as Manager, Data Analytics. Reporting to the VP of Product Management, this person will lead our Data Analytics function — setting the direction and strategy for the team while personally driving the majority of our most important analysis work. This is a true player-coach role: we expect roughly 80% of your time to be spent on hands-on analytical work, with the remaining 20% on team management, strategic alignment, and presenting to senior leadership. You’ll partner closely with our Data Engineering team, who own and maintain our data pipeline, and with Product, Growth, and Marketing stakeholders across the company. We are a remote-first company and foster an environment based on kindness, humility, transparency, and helpfulness.

What you’ll do

• Personally deliver data-driven insights, recommendations, and deep-dive analyses that shape product, growth, and business decisions — from framing the question through presenting the answer.
• Design and analyze experiments and A/B tests, bringing statistical rigor to how we evaluate product and growth initiatives.
• Develop, maintain, and improve the dashboards and reports the company relies on to measure and manage KPIs — including acquisition, engagement, retention, and monetization metrics.
• Own the definitions and governance of our core business metrics, ensuring a trusted, single source of truth across the company.
• Set the overall direction, strategy, and roadmap for the Data Analytics team, ruthlessly prioritizing requests from Product, Growth, Marketing, and Engineering.
• Manage, mentor, and develop the data analysts on the team, raising the bar on analytical quality and craft.
• Partner closely with Data Engineering on data models, pipeline improvements, instrumentation, and data quality — advocating for the datasets and tooling the analytics team needs.
• Embrace and champion AI tools throughout the analytics workflow — using them daily to accelerate query development, analysis, and reporting, and helping the team and company adopt them effectively.
• Enable self-serve analytics so stakeholders can answer routine questions themselves, freeing the team for higher-leverage work.
• Communicate findings clearly and persuasively to senior leadership and executives, and support our company-wide OKR process with sound measurement.

What you bring to the table

• You have 7–10 years of experience in Analytics and Data Science, including experience leading or mentoring analysts — and you still love doing the work yourself.
• You have expert-level SQL skills and experience pulling insights from large, complex datasets — preferably using Google BigQuery.
• You’re proficient with modern BI and visualization tools (Looker preferred, or Tableau/Power BI or similar).
• You have working knowledge of Python or R for statistical analysis, and a solid grounding in experimentation methodology and statistics.
• You have readily embraced the latest AI tools (LLMs, AI coding assistants, agentic workflows) as a core part of how you work, and you’re curious about how they keep changing the craft.
• You’re technically competent and deeply curious — no detail is too small, no dataset too messy, and no question goes unexamined.
• You have experience partnering with data engineering teams on data modeling, pipelines, and data quality, and you know how to be a great customer of a data platform.
• You have excellent interpersonal, communication, and presentation skills, and are comfortable presenting insights and recommendations to executives.
• You’re highly organized with strong prioritization skills, able to juggle multiple — and at times conflicting — priorities and stakeholder needs.
• You’re opinionated about the metrics that matter for a consumer streaming and subscription business — experience in streaming, entertainment, or consumer subscription products is a plus.
• You are kind, humble, helpful and enjoy getting stuff done.
• You are intrinsically motivated, able to manage your time, and enjoy working with a distributed team across the globe.
• You believe in asking for help and helping others when they ask, never throwing a problem over the wall.
• You are hungry to have an impact, continuously working to improve our product, process and push the team to be its best.

Who we are

Plex is a global streaming media platform that gives millions of customers around the world the freedom to enjoy all the content they love in one simple, beautiful app. Our vision is to empower real human connections by bringing people and entertainment together. So, we’re on a mission to create a global community for streaming content that people can depend on to easily discover, experience, and share all of the entertainment that matters to them.

What sets us apart

• We are the largest independent streaming platform built by a global team of employees who are fanatically passionate about delivering the highest quality, most unified, and user-friendliest entertainment experience possible.
• We have always been a distributed organization, with people making great things happen in over 20 different countries and 11 time zones.
• We host epic in-person off-sites to bring team members together a few times a year.
• We are passionate about our mission and we work hard, while still providing flexibility around a schedule that works for you.
• We love what we’re building and our user community is an integral part of our development process. We actively engage with customers to understand what is working, what they want more of, and how we can be better.
• We are committed to improving the communities where we live and work with charitable contributions, partnerships, and service.

Remote Work / Onsite Interview

• Plex hires new team members in countries around the world.
• As such, Plex does not sponsor employment visas.
• All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our hiring team can help answer any questions about location after starting the recruiting process.
• Also, please note, though we largely work asynchronously, as it relates to meetings, those generally occur between UTC 1600 to UTC 1900
• All final interviews will be in-person and onsite

The Plex Values

• Be kind, humble, and helpful.
• Approach problems with curiosity, creativity, and flexibility.
• Put yourself on the customer’s couch.
• Be a good steward. Like a boss!
• Build relationships to ensure healthy debate.
• Foster a global and diverse team spirit.
• Show gratitude and give back.
• Seek balance for yourself and Plex.

Compensation

Our compensation reflects the cost of labor across several US and Global geographic markets. The base pay for this position ranges from $100,000 / year in our lowest geographic market up to $170,000 / year in our highest geographic market. Pay is based on a number of factors including market location, seniority, local currency and may vary depending on job-related knowledge, skills, and experience.

Benefits

• Monthly Balance Wellness Stipend
• Productivity Stipend
• Flexible paid time off
• Paid parental leave
• Hardware stipend
• Flextime, work from anywhere
• Comprehensive health insurance
• Stock options
• 401k (US employees)
• Plex for the Planet community service opportunities

AI Interview Guidelines at Plex

We want and will encourage you to use AI for your role here at Plex should you join us! That said, AI use will not be accepted during the interview process. If we believe you are using AI during the interview process in the following ways, we will not move forward with you for the role.

• Application Materials - Using AI to assist in building your resume or cover letter is acceptable. However, we expect the application materials you submit to represent your qualifications and skills accurately. If we determine that these may have been misrepresented, we will not move forward.
• Virtual Interviews - Our interviews are designed to test your ability to demonstrate skills needed for the role you’re interviewing for. We seek to understand your interpersonal and collaborative abilities, and how that would translate into the job. We ask that you engage in our interviews without reading from or referencing AI-produced answers. If we detect that you are doing so without permission or advance disclosure, we will not move forward.

Diversity, Equity, and Inclusion at Plex

At Plex, our vision is to empower real human connection by bringing people and entertainment together. This vision is at the heart of our diversity, equity and inclusion work.

As a fully remote, global company, we take pride in our ability and dedication to building a workforce that represents our global audience. Our virtual work environment is intentionally designed to draw from all backgrounds, creating a sense of belonging and ownership for every employee.

As we create a global community of streaming media, we know we need a team that represents the diversity of our users and a company culture that welcomes people to be their authentic selves, and we’re all in!

Our DEI efforts are focused on the following:

• Building a diverse and global company
• Creating an inclusive culture

Our DEI Foundations:

• Participation, Education and Awareness, Data and Understanding

Does this sound interesting? We’re looking for a Manager, Data Analytics who is ready to join us to have a material impact in Plex’s growth and success!

Plex is an Equal Employment Opportunity employer and is committed to building an inclusive and diverse workforce. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other classification protected by applicable discrimination laws. Should you require an accommodation during our interviewing and hiring process, please let your recruiter know.

FLSA Classification: Exempt

Overview:

We are Prime Matter Labs, a personal care product manufacturer with over 40 years of experience formulating, compounding, and filling products for some of the most successful and respected brands in the world.

 We have embarked in pursuit of a bold new vision to be the leading product development and production partner in the country for emerging and established brands. To realize that vision, we’re investing in new technology, processes, plans, and people that will completely rethink the way that brands view and interact with their manufacturer. We’re building the platform that will allow us to serve as the foundation of our customer’s branded products, from their first sample to their million-unit product run, and every step in between.

Come help us build the future of the personal care and beauty landscape, one partnership at a time.

Responsibilities:

• Work closely with managers, team members and company executives to identify the production needs of the business and help set quotas and other important metrics for production.
• Work closely with production staff in the development of the weekly and monthly production schedule.
• Coordinate with production, quality, and shipping teams to ensure monthly sales targets are met.
• Identify priority products, optimize workflows and meet order requirements. This includes prioritizing specific client orders for business relationships or to meet strict time requirements. Decide which products take priority and coordinate the projects’ needs with the production floor.
• Prepare reports to track progress against monthly, quarterly and yearly sales forecasts.
• Analyze and identify risks built into the Master Production Plan considering manufacturing lead times and capacity constraints.
• Support company-wide goals for on-time delivery to customer request dates.
• Support the monthly Sales & Operations Planning (S&OP) process, reconciling the demand plan with production capacity and supply constraints.
• Track and report forecast-accuracy KPIs (e.g., forecast accuracy, MAPE, and bias) and lead root-cause analysis and corrective actions.
• Partner with purchasing to align raw-material and component availability with the production plan, with particular attention to long-lead-time and shelf-life-sensitive materials.
• Support the maintenance of accurate item, lead-time, and capacity data within the ERP/MRP system to support reliable planning.
• Support the development of the yearly top-line revenue budget by consolidating customer forecasts, historical forecasting trends, and firm orders into a defensible annual volume plan.
• Follow up with customers on delivery dates for customer-supplied materials and components to ensure on-time availability for scheduled production.
• Support analysis on how the long-term forecast impacts equipment capacity, informing new-project site assignments and future equipment needs.
• Provide site production planners with the data needed to drive a firm four-week production schedule.

Qualifications:

• Bachelor’s degree in business management, supply chain management, or other related field
• 2+ years of related work experience in manufacturing industry is required
• Previous experience in supply chain demand planning is an asset
• Possess knowledge and experience in forecasting, data analysis, and supply chain management
• Exhibit the ability to be analytical and support analysis with data
• Experience in personal care, cosmetics, CPG, nutraceutical, or other FDA-regulated manufacturing is strongly preferred
• Working knowledge of statistical forecasting methods and demand-planning tools or ERP planning modules
• Proficiency in Microsoft Office suite, especially with Excel
• Familiarity with production planning software
• Organized, efficient and detail oriented
• Ability to manage in a complex and fast-paced, dynamic environment
• Strong written and verbal communication skills, with the ability to influence and align cross-functional partners

Benefits:

• Competitive compensation package
• Health, dental, and vision benefits
• 401K program
• The spirit of a startup with the security of an established, profitable industry leader
• The opportunity to make waves in a $250B industry
• Paid time off and company-observed holidays

Physical Requirements

• Primarily office-based work environment during regular business hours.
• Frequent use of a computer, phone, and standard office equipment.
• Ability to lift and carry up to 20 pounds (files, binders, or office materials).
• Ability to sit, stand, walk, bend, and reach as needed throughout the workday.

Equal Employment Opportunity Statement

Prime Matter Labs is committed to fostering a diverse, equitable, and inclusive workplace. We welcome applicants from all backgrounds, cultures, and experiences. Prime Matter Labs is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status in accordance with applicable federal, state, and local laws.

Job Overview

We are looking for a hands-on analytics leader to join our Product team as Manager, Data Analytics. Reporting to the VP of Product Management, this person will lead our Data Analytics function — setting the direction and strategy for the team while personally driving the majority of our most important analysis work. This is a true player-coach role: we expect roughly 80% of your time to be spent on hands-on analytical work, with the remaining 20% on team management, strategic alignment, and presenting to senior leadership. You’ll partner closely with our Data Engineering team, who own and maintain our data pipeline, and with Product, Growth, and Marketing stakeholders across the company. We are a remote-first company and foster an environment based on kindness, humility, transparency, and helpfulness.

What you’ll do

• Personally deliver data-driven insights, recommendations, and deep-dive analyses that shape product, growth, and business decisions — from framing the question through presenting the answer.
• Design and analyze experiments and A/B tests, bringing statistical rigor to how we evaluate product and growth initiatives.
• Develop, maintain, and improve the dashboards and reports the company relies on to measure and manage KPIs — including acquisition, engagement, retention, and monetization metrics.
• Own the definitions and governance of our core business metrics, ensuring a trusted, single source of truth across the company.
• Set the overall direction, strategy, and roadmap for the Data Analytics team, ruthlessly prioritizing requests from Product, Growth, Marketing, and Engineering.
• Manage, mentor, and develop the data analysts on the team, raising the bar on analytical quality and craft.
• Partner closely with Data Engineering on data models, pipeline improvements, instrumentation, and data quality — advocating for the datasets and tooling the analytics team needs.
• Embrace and champion AI tools throughout the analytics workflow — using them daily to accelerate query development, analysis, and reporting, and helping the team and company adopt them effectively.
• Enable self-serve analytics so stakeholders can answer routine questions themselves, freeing the team for higher-leverage work.
• Communicate findings clearly and persuasively to senior leadership and executives, and support our company-wide OKR process with sound measurement.

What you bring to the table

• You have 7–10 years of experience in Analytics and Data Science, including experience leading or mentoring analysts — and you still love doing the work yourself.
• You have expert-level SQL skills and experience pulling insights from large, complex datasets — preferably using Google BigQuery.
• You’re proficient with modern BI and visualization tools (Looker preferred, or Tableau/Power BI or similar).
• You have working knowledge of Python or R for statistical analysis, and a solid grounding in experimentation methodology and statistics.
• You have readily embraced the latest AI tools (LLMs, AI coding assistants, agentic workflows) as a core part of how you work, and you’re curious about how they keep changing the craft.
• You’re technically competent and deeply curious — no detail is too small, no dataset too messy, and no question goes unexamined.
• You have experience partnering with data engineering teams on data modeling, pipelines, and data quality, and you know how to be a great customer of a data platform.
• You have excellent interpersonal, communication, and presentation skills, and are comfortable presenting insights and recommendations to executives.
• You’re highly organized with strong prioritization skills, able to juggle multiple — and at times conflicting — priorities and stakeholder needs.
• You’re opinionated about the metrics that matter for a consumer streaming and subscription business — experience in streaming, entertainment, or consumer subscription products is a plus.
• You are kind, humble, helpful and enjoy getting stuff done.
• You are intrinsically motivated, able to manage your time, and enjoy working with a distributed team across the globe.
• You believe in asking for help and helping others when they ask, never throwing a problem over the wall.
• You are hungry to have an impact, continuously working to improve our product, process and push the team to be its best.

Who we are

Plex is a global streaming media platform that gives millions of customers around the world the freedom to enjoy all the content they love in one simple, beautiful app. Our vision is to empower real human connections by bringing people and entertainment together. So, we’re on a mission to create a global community for streaming content that people can depend on to easily discover, experience, and share all of the entertainment that matters to them.

What sets us apart

• We are the largest independent streaming platform built by a global team of employees who are fanatically passionate about delivering the highest quality, most unified, and user-friendliest entertainment experience possible.
• We have always been a distributed organization, with people making great things happen in over 20 different countries and 11 time zones.
• We host epic in-person off-sites to bring team members together a few times a year.
• We are passionate about our mission and we work hard, while still providing flexibility around a schedule that works for you.
• We love what we’re building and our user community is an integral part of our development process. We actively engage with customers to understand what is working, what they want more of, and how we can be better.
• We are committed to improving the communities where we live and work with charitable contributions, partnerships, and service.

Remote Work / Onsite Interview

• Plex hires new team members in countries around the world.
• As such, Plex does not sponsor employment visas.
• All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our hiring team can help answer any questions about location after starting the recruiting process.
• Also, please note, though we largely work asynchronously, as it relates to meetings, those generally occur between UTC 1600 to UTC 1900
• All final interviews will be in-person and onsite

The Plex Values

• Be kind, humble, and helpful.
• Approach problems with curiosity, creativity, and flexibility.
• Put yourself on the customer’s couch.
• Be a good steward. Like a boss!
• Build relationships to ensure healthy debate.
• Foster a global and diverse team spirit.
• Show gratitude and give back.
• Seek balance for yourself and Plex.

Compensation

Our compensation reflects the cost of labor across several US and Global geographic markets. The base pay for this position ranges from $100,000 / year in our lowest geographic market up to $170,000 / year in our highest geographic market. Pay is based on a number of factors including market location, seniority, local currency and may vary depending on job-related knowledge, skills, and experience.

Benefits

• Monthly Balance Wellness Stipend
• Productivity Stipend
• Flexible paid time off
• Paid parental leave
• Hardware stipend
• Flextime, work from anywhere
• Comprehensive health insurance
• Stock options
• 401k (US employees)
• Plex for the Planet community service opportunities

AI Interview Guidelines at Plex

We want and will encourage you to use AI for your role here at Plex should you join us! That said, AI use will not be accepted during the interview process. If we believe you are using AI during the interview process in the following ways, we will not move forward with you for the role.

• Application Materials - Using AI to assist in building your resume or cover letter is acceptable. However, we expect the application materials you submit to represent your qualifications and skills accurately. If we determine that these may have been misrepresented, we will not move forward.
• Virtual Interviews - Our interviews are designed to test your ability to demonstrate skills needed for the role you’re interviewing for. We seek to understand your interpersonal and collaborative abilities, and how that would translate into the job. We ask that you engage in our interviews without reading from or referencing AI-produced answers. If we detect that you are doing so without permission or advance disclosure, we will not move forward.

Diversity, Equity, and Inclusion at Plex

At Plex, our vision is to empower real human connection by bringing people and entertainment together. This vision is at the heart of our diversity, equity and inclusion work.

As a fully remote, global company, we take pride in our ability and dedication to building a workforce that represents our global audience. Our virtual work environment is intentionally designed to draw from all backgrounds, creating a sense of belonging and ownership for every employee.

As we create a global community of streaming media, we know we need a team that represents the diversity of our users and a company culture that welcomes people to be their authentic selves, and we’re all in!

Our DEI efforts are focused on the following:

• Building a diverse and global company
• Creating an inclusive culture

Our DEI Foundations:

• Participation, Education and Awareness, Data and Understanding

Does this sound interesting? We’re looking for a Manager, Data Analytics who is ready to join us to have a material impact in Plex’s growth and success!

Plex is an Equal Employment Opportunity employer and is committed to building an inclusive and diverse workforce. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other classification protected by applicable discrimination laws. Should you require an accommodation during our interviewing and hiring process, please let your recruiter know.

Type of Requisition:PipelineClearance Level Must Currently Possess: NoneClearance Level Must Be Able to Obtain: NonePublic Trust/Other Required:NoneJob Family: Data Science and Data EngineeringJob Qualifications:Skills:Business Intelligence Strategy, Data Analytics, Enterprise Business IntelligenceCertifications:NoneExperience:10 + years of related experienceUS Citizenship Required:NoJob Description: Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program.

Position Title Digital Analytics ManagerLocation Nationwide, MI 48098Job Summary The Manager, Digital Analytics owns defined workstreams within Flagstar's digital measurement and analytics capability across web, mobile app, and digital marketing channels.

Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes.

• Workplace locations look different for everyone. Excellians are a distributed workforce and whether you’re working from your home office or a client site, we support a flexible work/life integration regardless of your location.
• We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.
• Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.
• Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.
• Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use!
• With Excella’s Annual Internet Reimbursement benefit, all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive, no matter where you work.
• We’ll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications.
• We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.

Overview

Managing Data Scientists at Excella leverage AI, machine learning, advanced statistical techniques to drive meaningful insights and solutions for clients. They provide strategic leadership in data science projects for clients and mentor team members to become better AI/ML engineers. They lead in architecture and pipeline designs allowing for reproducible and traceable AI solutions.

Responsibilities

• Lead the design and execution of data science projects, ensuring high-impact analytics solutions.
• Partner with client stakeholders to understand business challenges and develop data-driven strategies.
• Oversee data acquisition and integration, ensuring data quality and reliability.
• Apply and refine machine learning and predictive modeling techniques to solve complex business problems.
• Guide the deployment and integration of predictive models into business applications.
• Develop and implement strategies for optimizing model performance and monitoring over time.
• Present findings and recommendations to executives, translating complex data concepts into actionable business strategies.
• Mentor and support junior and senior team members in data science methodologies and best practices.
• Influence data governance and best practices within the organization.
• Work directly with client stakeholders to define and lead analysis objectives and translate them into actionable results.

Qualifications

• 3+ years of experience leading teams to design, develop and deploy scaled, highly performant AI/ML solutions, preferrably in sensitive contexts
• Experience with leading Agile AI/ML teams, including AI incubators. Strong background in leading data science teams and mentoring junior data scientists.
• Experience developing and deploying Generative AI applications in high security contexts
• 9+ years of experience in predictive analytics in languages like Python or Scala.
• 9+ years of experience applying data science techniques, such as clustering analysis, anomaly detection, tree-based models, ensemble methods, neural networks
• Experience tracking model performance through product development lifecycle. Experience using AI/ML pipeline management and tracking tools (MLFlow, DataBricks)
• Proficiency with relational databases (Oracle, SQL Server, PostgreSQL) and Big Data platforms (Hadoop/Spark). Including querying to extract data from multiple source systems.
• Experience using natural language processing techniques, including Generative AI.
• Preferred: Experience applying advanced analytics for fraud detection and prevention.
• Excellent communication skills for engaging with stakeholders at all levels, including executives.
• Self-motivated with the ability to manage tasks and estimate time requirements effectively. Continuous learning mindset with a passion for staying up to date on emerging data science technologies.
• Familiarity with DevOps Research and Assessment (DORA) and its capabilities is encouraged.
• Experience working in an Agile Scrum framework

This range represents the minimum and maximum base salary that Excella reasonably and in good faith expects to pay for this role. Actual compensation within the range will depend on factors such as skills, experience, training, certifications, and organizational needs. It is not typical for an individual to be hired at or near the top or bottom of the range.

Your pay also includes the opportunity for an annual bonus in addition to the base salary. This variable pay opportunity is dependent upon the attainment of shared firmwide goals and objectives as determined by Excella’s Executive Team. Certain eligibility and pro-ration rules apply.

Should your experience and knowledge qualify you for a different position or title within Excella, we may consider you for positions that better align with your qualifications. In that case, we will provide the range for those positions as well.

Pay Range

$167,000—$225,000 USD

Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact Recruiting@excella.com or 703-840-8600.

KNOW YOUR RIGHTS

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US

As a Data Scientist on Taboola’s R&D Team in Downtown Los Angeles, utilizing some of the latest technology and tools, you will work on the recommendation and ranking algorithms that drive Realize — Taboola’s performance advertising platform serving 600M+ daily active users  —  and building agentic AI systems alongside it.

The models you build directly influence campaign performance and revenue outcomes for advertisers worldwide.

To thrive in this role, you’ll need:

• Master’s degree or Ph.D, ideally in Computer Science, Electrical Engineering, Physics, Computational Economics, or similar
• 5+ years of hands-on experience in Python and Java
• Proficiency with ML frameworks (e.g., PyTorch, Tensorflow, Spark MLlib)
• SQL proficiency for data exploration and analysis
• System-architecture mindset — ability to design scalable, reliable, high-performance systems and reason about how a model fits into the larger data and serving infrastructure.
• Experience taking end-to-end ownership of ML systems: design, build, ship, measure, and maintain —  using AI-assisted “vibe coding” tools (e.g., Cursor, Claude, GitHub Copilot).
• Experience building automated evaluation harnesses and test frameworks for ML systems — defining benchmarks, baselines, and guardrails that let a team ship confidently and repeatedly
• Ability to communicate technical findings clearly, and to collaborate effectively across teams (including early morning or evening syncs with our Tel Aviv team)

Bonus points if you have:

• Experience with recommendation systems, ranking algorithms, or personalization at scale
• Familiarity with real-time ML and large-scale data mining

How you’ll make an impact:

• Design and build predictive customer behavior models for targeting and personalization
• Implement the applicable Machine Learning or statistics based algorithm for prediction and optimization and deliver the trained model to production
• Take end-to-end ownership: design, build, ship, measure, and maintain models and the services around them—rapidly prototyping and delivering complete projects/products using AI-assisted “vibe coding” workflows.
• Act as a Harness Engineer: build the evaluation harnesses, automated testing frameworks, benchmarks, and guardrails that let the team experiment, measure model quality, and ship AI/ML systems safely and repeatedly, following a TDD process.
• Present findings to the product team and technical team leads in a clear and actionable way.
• Build and maintain code to populate HDFS, Hadoop with log from Kafka or data loaded from SQL production systems
• Design, build and support algorithms of data transformation, conversion, computation on Hadoop, Spark and other distributed Big Data Systems

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
• Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), a fully stocked kitchen and parking.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-RT1

#LI-Hybrid

The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.

Base Salary Pay Range

$138,500—$185,000 USD

About The Role

As a Senior Data Analyst, you will partner closely with Product, Marketing, Engineering, and Leadership to shape how the company measures success, identifies growth opportunities, and makes data-informed decisions. You will develop scalable data models, establish analytical frameworks, and translate complex data into clear, actionable recommendations that influence product strategy and business outcomes. You will own analyses that evaluate product performance and customer behaviour, using cohort/retention analysis and funnel analytics to uncover what drives sustainable growth. You thrive as a generalist, moving seamlessly between evaluating the potential of new categories and diagnosing changes across established ones.

You Will:

• Serve as a technical expert and end-to-end owner of product data sources, analytics infrastructure, data models, and measurement frameworks

• Define and monitor KPIs that determine the health of a category (adoption, retention, conversion, unit economics, cross-sell, etc.)

• Partner with Product to evaluate feature adoption, identify opportunities, and influence roadmap prioritization through data

• Design measurement frameworks to evaluate product launches, experiments, and strategic initiatives

• Identify drivers of customer retention through cohort analysis and recommend opportunities to improve long-term engagement

• Improve analytical processes and automate recurring workflows that enable faster, more reliable product decision-making

• Lead the development and maintenance of dbt data models and orchestrations, ensuring accuracy, modularity, and performance optimization

• Build trusted, self-serve reporting and semantic data models that enable teams to answer questions independently

• Translate ambiguous business questions into structured analyses with clear recommendations and present those findings to senior stakeholders in a way that drives decisions

You Have:

• 5+ years of experience in data roles

• Expert SQL skills with experience writing performant, maintainable, and well-tested queries

• Experience building and maintaining analytics workflows with dbt

• Strong version control skills with Git

• Proven experience with retention/cohort analysis and funnel/conversion analysis

• Familiarity with statistical experimentation and A/B testing principles

• Experience working on new product, market, or category launches is a strong plus

• Strong project management and communication skills, with a results-oriented mindset

Benefits

• Full medical, dental and vision benefits

• Maternity/paternity policy

• 4 weeks vacation (3 weeks anytime + 1 week during the holidays)

• Competitive compensation

• Stock option grant

• Remote first, work from anywhere in Canada

• Professional development opportunities, working closely with founders and the senior leadership team

Open vacancy: This posting is for an existing vacancy at the company.

Our commitment to an inclusive team culture means embracing diversity and offering equitable access to opportunities and resources for people who might otherwise be excluded. During our recruitment process, we provide accommodations at any stage. Candidates can communicate their accommodation needs to the hiring manager directly or by emailing accessibility@felixforyou.ca.

Recruitment Fraud Alert

Please note: We have been made aware of fraudulent recruiting activities where individuals pose as Felix representatives.

• Communication: We will only ever contact you from an official @ felixforyou.ca email address.

• Interviews: All interviews are conducted via Google Meet; we never interview via text-only platforms (like Telegram or WhatsApp).

• Payments: We will never ask for credit card information, bank details, or payments for “equipment” or “onboarding” during the application process.

At Nimble Gravity, we help organizations turn data, technology, and AI into measurable business results. We’re looking for a Business Intelligence Analyst to join our growing team and help transform data into clear, actionable insights that support business decision-making. This role is ideal for someone who enjoys working with data, understanding business needs, and building dashboards and reports that make complex information easy to understand and use.

What You’ll Do

• Analyze business data to identify trends, patterns, and opportunities.
• Build and maintain dashboards, reports, and visualizations that support business teams and stakeholders.
• Work with stakeholders to understand business questions and translate them into reporting and analytics solutions.
• Write and optimize SQL queries to extract, transform, and analyze data from multiple sources.
• Define and track key business metrics and KPIs.
• Validate data and help ensure accuracy, consistency, and reliability across reports and dashboards.
• Communicate findings and insights clearly to both technical and non-technical audiences.
• Collaborate with data, engineering, product, and business teams on analytics initiatives.

What You Bring

• Experience in Business Intelligence, Data Analytics, or a similar analytical role.
• Strong SQL skills and experience working with relational databases.
• Experience with BI and data visualization tools such as Power BI, Tableau, Looker, or similar.
• Strong analytical and problem-solving skills.
• Ability to translate business requirements into meaningful metrics, dashboards, and reports.
• Good understanding of data modeling and reporting concepts.
• Strong attention to detail and commitment to data accuracy.
• Clear communication skills and the ability to work effectively with different stakeholders.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Nice to Have

• Experience working with cloud data platforms such as Databricks, Snowflake, BigQuery, or similar.
• Familiarity with Python or other data analysis tools.
• Experience working in consulting or client-facing environments.
• Familiarity with modern data warehousing and analytics practices.

Why Nimble Gravity?

You’ll work with talented teams solving real business problems through data and technology. You’ll have the opportunity to contribute to a variety of projects, collaborate with experienced professionals, and continue developing your skills in a fast-growing environment.

Nimble Gravity is an Equal Opportunity Employer and considers applicants without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes.

• Workplace locations look different for everyone. Excellians are a distributed workforce and whether you’re working from your home office or a client site, we support a flexible work/life integration regardless of your location.
• We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.
• Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.
• Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.
• Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use!
• With Excella’s Annual Internet Reimbursement benefit, all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive, no matter where you work.
• We’ll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications.
• We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.

Overview

Managing Data Scientists at Excella leverage AI, machine learning, advanced statistical techniques to drive meaningful insights and solutions for clients. They provide strategic leadership in data science projects for clients and mentor team members to become better AI/ML engineers. They lead in architecture and pipeline designs allowing for reproducible and traceable AI solutions.

Responsibilities

• Lead the design and execution of data science projects, ensuring high-impact analytics solutions.
• Partner with client stakeholders to understand business challenges and develop data-driven strategies.
• Oversee data acquisition and integration, ensuring data quality and reliability.
• Apply and refine machine learning and predictive modeling techniques to solve complex business problems.
• Guide the deployment and integration of predictive models into business applications.
• Develop and implement strategies for optimizing model performance and monitoring over time.
• Present findings and recommendations to executives, translating complex data concepts into actionable business strategies.
• Mentor and support junior and senior team members in data science methodologies and best practices.
• Influence data governance and best practices within the organization.
• Work directly with client stakeholders to define and lead analysis objectives and translate them into actionable results.

Qualifications

• 3+ years of experience leading teams to design, develop and deploy scaled, highly performant AI/ML solutions, preferrably in sensitive contexts
• Experience with leading Agile AI/ML teams, including AI incubators. Strong background in leading data science teams and mentoring junior data scientists.
• Experience developing and deploying Generative AI applications in high security contexts
• 9+ years of experience in predictive analytics in languages like Python or Scala.
• 9+ years of experience applying data science techniques, such as clustering analysis, anomaly detection, tree-based models, ensemble methods, neural networks
• Experience tracking model performance through product development lifecycle. Experience using AI/ML pipeline management and tracking tools (MLFlow, DataBricks)
• Proficiency with relational databases (Oracle, SQL Server, PostgreSQL) and Big Data platforms (Hadoop/Spark). Including querying to extract data from multiple source systems.
• Experience using natural language processing techniques, including Generative AI.
• Preferred: Experience applying advanced analytics for fraud detection and prevention.
• Excellent communication skills for engaging with stakeholders at all levels, including executives.
• Self-motivated with the ability to manage tasks and estimate time requirements effectively. Continuous learning mindset with a passion for staying up to date on emerging data science technologies.
• Familiarity with DevOps Research and Assessment (DORA) and its capabilities is encouraged.
• Experience working in an Agile Scrum framework

This range represents the minimum and maximum base salary that Excella reasonably and in good faith expects to pay for this role. Actual compensation within the range will depend on factors such as skills, experience, training, certifications, and organizational needs. It is not typical for an individual to be hired at or near the top or bottom of the range.

Your pay also includes the opportunity for an annual bonus in addition to the base salary. This variable pay opportunity is dependent upon the attainment of shared firmwide goals and objectives as determined by Excella’s Executive Team. Certain eligibility and pro-ration rules apply.

Should your experience and knowledge qualify you for a different position or title within Excella, we may consider you for positions that better align with your qualifications. In that case, we will provide the range for those positions as well.

Pay Range

$167,000—$225,000 USD

Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact Recruiting@excella.com or 703-840-8600.

KNOW YOUR RIGHTS

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US

As a Data Scientist on Taboola’s R&D Team in Downtown Los Angeles, utilizing some of the latest technology and tools, you will work on the recommendation and ranking algorithms that drive Realize — Taboola’s performance advertising platform serving 600M+ daily active users  —  and building agentic AI systems alongside it.

The models you build directly influence campaign performance and revenue outcomes for advertisers worldwide.

To thrive in this role, you’ll need:

• Master’s degree or Ph.D, ideally in Computer Science, Electrical Engineering, Physics, Computational Economics, or similar
• 5+ years of hands-on experience in Python and Java
• Proficiency with ML frameworks (e.g., PyTorch, Tensorflow, Spark MLlib)
• SQL proficiency for data exploration and analysis
• System-architecture mindset — ability to design scalable, reliable, high-performance systems and reason about how a model fits into the larger data and serving infrastructure.
• Experience taking end-to-end ownership of ML systems: design, build, ship, measure, and maintain —  using AI-assisted “vibe coding” tools (e.g., Cursor, Claude, GitHub Copilot).
• Experience building automated evaluation harnesses and test frameworks for ML systems — defining benchmarks, baselines, and guardrails that let a team ship confidently and repeatedly
• Ability to communicate technical findings clearly, and to collaborate effectively across teams (including early morning or evening syncs with our Tel Aviv team)

Bonus points if you have:

• Experience with recommendation systems, ranking algorithms, or personalization at scale
• Familiarity with real-time ML and large-scale data mining

How you’ll make an impact:

• Design and build predictive customer behavior models for targeting and personalization
• Implement the applicable Machine Learning or statistics based algorithm for prediction and optimization and deliver the trained model to production
• Take end-to-end ownership: design, build, ship, measure, and maintain models and the services around them—rapidly prototyping and delivering complete projects/products using AI-assisted “vibe coding” workflows.
• Act as a Harness Engineer: build the evaluation harnesses, automated testing frameworks, benchmarks, and guardrails that let the team experiment, measure model quality, and ship AI/ML systems safely and repeatedly, following a TDD process.
• Present findings to the product team and technical team leads in a clear and actionable way.
• Build and maintain code to populate HDFS, Hadoop with log from Kafka or data loaded from SQL production systems
• Design, build and support algorithms of data transformation, conversion, computation on Hadoop, Spark and other distributed Big Data Systems

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
• Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), a fully stocked kitchen and parking.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-RT1

#LI-Hybrid

The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.

Base Salary Pay Range

$138,500—$185,000 USD

Um dos maiores grupos de beleza do mundo, o Grupo Boticário é uma empresa brasileira presente em mais de 40 países.