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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.
Job Responsibility:
Own the analytical strategy for a product area: identifying the highest-leverage questions, defining the measurement framework, and ensuring data-driven decisions
Serve as a strategic partner to product and engineering leadership, translating ambiguous business problems into analytical approaches and clear, actionable recommendations
Define north-star metrics and measurement strategies to set goals, evaluate progress, and make trade-offs
Design and oversee experiments and causal analyses, ensuring methodological rigor and that results drive real product decisions
Develop and maintain a deep understanding of user growth dynamics: how acquisition, activation, and retention interact to drive growth, and use that understanding to diagnose metric movements, explain trends to leadership, and anticipate emerging risks or opportunities
Contribute and own areas of the team’s forecasting and growth modeling efforts, helping translate statistical models into actionable growth strategies
Mentor and elevate other data scientists through code review, methodology guidance, and establishing reusable analytical frameworks
Represent data science in cross-functional forums, making the case for what the data shows even when it challenges prevailing assumptions
Drive alignment across data science, data engineering, and product on shared priorities like data quality, metric definitions, and instrumentation
Requirements:
8+ years of experience in data science, analytics, or applied quantitative analysis, with a track record of shaping product strategy through data
Demonstrated ability to lead complex, cross-functional analytical initiatives from problem framing through stakeholder alignment to decision
Deep expertise in experimentation (A/B testing) and causal inference, with strong judgment about when each method applies and what conclusions they support
Advanced proficiency in SQL and Python for analysis, modeling, and validation
Experience defining and owning product metrics that teams actually use to make decisions
Strong opinions, loosely held: you can take a position on what the data says, advocate for it clearly, and update when the evidence changes
Track record of mentoring or technically leading other data scientists
Commitment to our values: Welcoming differences, Being relationship-minded, Practicing responsible participation, Having grit
What we offer:
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
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)