Staff Data Scientist, Firefox
New
M
MozillaWeb Browser
Remote USFull-TimeStaff
Salary138,000 - 218,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 8+ years
- Required Skills
- PythonSQLA/B testing
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 for analysis, modeling, and validation
- Advanced proficiency in Python for analysis, modeling, and validation
- Experience defining and owning product metrics that teams actually use to make decisions
- Strong opinions, loosely held: ability to take a position on data, advocate for it clearly, and update when evidence changes
- Track record of mentoring or technically leading other data scientists
Responsibilities
- 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
View Full Description & ApplyYou'll be redirected to the employer's site
