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Staff Data Scientist, Firefox

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Mozilla

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Location:
United States

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Category:
-

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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)

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

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