Senior Data Scientist, Product

Mozilla

7h•$127,000 - $200,000•Remote

About The Position

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make groundbreaking brands like Firefox, the privacy-minded web browser. Now, with more than 200 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, privacy, 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(c) 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 Firefox Data Science team partners with Product and Engineering to grow usage of our flagship product: Firefox, the privacy-minded web browser. Our work informs prioritization, investment decisions, and the long-term growth strategy across Firefox. The Senior Data Scientist will lead analytical support for a feature area to drive measurable user growth by framing ambiguous questions, designing measurement strategies, and delivering insights that shape product decisions. They will also contribute to the team's forecasting and growth modeling efforts, helping translate statistical models into actionable growth strategies. This role emphasizes judgment, communication, and influence, supported by strong technical execution.

Requirements

6+ years of experience in data science, analytics, or applied quantitative analysis, with a track record of influencing business decisions through data
Advanced proficiency in SQL and Python for analysis, modeling, and validation
Background in experimentation (A/B testing) and causal inference for product development
Familiarity with time-series forecasting or statistical modeling techniques
Experience communicating models and findings to senior leadership and cross-functional partners
Ability to operate effectively in fast-paced environments with multiple viable options, delivering directional insights with clear rationale
Commitment to our values: Welcoming differences, Being relationship-minded, Practicing responsible participation, Having grit

Responsibilities

Own the analytical success for a feature area by defining north-star metrics, building datasets, establishing measurement strategies, and driving data-driven decisions
Provide deep-dive and root-cause analyses to guide feature development, such as understanding what’s driving a metric change or opportunity sizing of new features
Design and analyze experiments to understand feature impact, user behavior, and causal relationships
Design measurement plans to evaluate new growth initiatives and validate assumptions over time
Contribute to the team's statistical forecasting models and help translate model outputs into actionable growth plans
Sit at the intersection between product, engineering, and leadership to advise, influence, support, and implement our product decisions
Cultivate a culture of measurement and advocate for strong analytical standards and methodologies across the organization

Benefits

Generous performance-based bonus plans to all eligible employees - we share in our success as one team
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
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
Employee referral bonus program
Other benefits (life/AD&D, disability, EAP, etc.varies by country)