Staff Data Scientist

🕒 April 29

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Mozilla

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1998

👥 B2C

🔒 Cybersecurity

B2C • Cybersecurity • Software

Mozilla is a non-profit organization dedicated to promoting an open and accessible internet. They are the makers of the popular Firefox browser, which emphasizes user privacy, speed, and control. Mozilla also offers a range of products that focus on internet security and privacy, including Mozilla VPN, Firefox Relay, and Mozilla Monitor. Additionally, the organization is involved in open-source projects, AI innovation, and advocating for digital rights. Mozilla aims to empower users with trustworthy technology and policies that protect privacy, support open-source AI development, and foster accountability for tech companies.

📋 Description

• 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

🏖️ 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