Senior Data Scientist, Product
Mozilla
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- 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
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
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data scienceanalyticsapplied quantitative analysisSQLPythonA/B testingcausal inferencetime-series forecastingstatistical modelingstatistical forecasting
Soft Skills
influencing business decisionscommunicationoperating effectively in fast-paced environmentsdelivering directional insightsadvocating for analytical standardscollaborationrelationship-mindedgrit