Staff Data Scientist

Mozilla

Staff Data Scientist at Mozilla shaping analytical strategies to enhance Firefox product growth and user engagement. Collaborating with product and engineering leadership to drive data-informed decisions.

Posted 4/29/2026full-timeRemote • 🇺🇸 United StatesLead💰 $163,000 - $218,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data scienceanalyticsapplied quantitative analysisA/B testingcausal inferenceSQLPythonforecastinggrowth modelingstatistical models

Soft Skills

leadershipmentoringcommunicationproblem framingstakeholder alignmentadvocacyadaptabilityrelationship-mindedgritmethodological rigor