[Remote] Staff Data Scientist, Firefox

Note: The job is a remote job and is open to candidates in USA. Mozilla Corporation is a non-profit-backed technology company that has significantly impacted the internet over the past 25 years. They are seeking a Staff Data Scientist to own the analytical strategy for Firefox, partnering with product and engineering to drive growth through data-driven decisions and strategic recommendations.ResponsibilitiesOwn the analytical strategy for a product area: identifying the highest-leverage questions, defining the measurement framework, and ensuring data-driven decisionsServe as a strategic partner to product and engineering leadership, translating ambiguous business problems into analytical approaches and clear, actionable recommendationsDefine north-star metrics and measurement strategies to set goals, evaluate progress, and make trade-offsDesign and oversee experiments and causal analyses, ensuring methodological rigor and that results drive real product decisionsDevelop 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 opportunitiesContribute and own areas of the team’s forecasting and growth modeling efforts, helping translate statistical models into actionable growth strategiesMentor and elevate other data scientists through code review, methodology guidance, and establishing reusable analytical frameworksRepresent data science in cross-functional forums, making the case for what the data shows even when it challenges prevailing assumptionsDrive alignment across data science, data engineering, and product on shared priorities like data quality, metric definitions, and instrumentationSkills8+ years of experience in data science, analytics, or applied quantitative analysis, with a track record of shaping product strategy through dataDemonstrated ability to lead complex, cross-functional analytical initiatives from problem framing through stakeholder alignment to decisionDeep expertise in experimentation (A/B testing) and causal inference, with strong judgment about when each method applies and what conclusions they supportAdvanced proficiency in SQL and Python for analysis, modeling, and validationExperience defining and owning product metrics that teams actually use to make decisionsStrong opinions, loosely held: you can take a position on what the data says, advocate for it clearly, and update when the evidence changesTrack record of mentoring or technically leading other data scientistsCommitment to our values: Welcoming differences, Being relationship-minded, Practicing responsible participation, Having gritBenefitsGenerous performance-based bonus plans to all eligible employees - we share in our success as one teamRich medical, dental, and vision coverageGenerous retirement contributions with 100% immediate vesting (regardless of whether you contribute)Quarterly all-company wellness days where everyone takes a pause togetherCountry specific holidays plus a day off for your birthdayOne-time home office stipendAnnual professional development budgetQuarterly well-being stipendConsiderable paid parental leaveEmployee referral bonus programOther benefits (life/AD&D, disability, EAP, etc.varies by country)Company OverviewMozilla provides internet solutions and offers firefox, thunderbird, and raindrop. It was founded in 1998, and is headquartered in Mountain View, California, USA, with a workforce of 501-1000 employees. Its website is https://www.mozilla.org.Company H1B SponsorshipMozilla has a track record of offering H1B sponsorships, with 2 in 2025, 5 in 2024, 4 in 2023, 3 in 2022, 2 in 2021, 6 in 2020. Please note that this does not guarantee sponsorship for this specific role.