Senior Data Scientist

Summary

Join Mozilla as a Senior Data Scientist and become an integral part of the GTM Data Science team, driving the analytical backbone of Mozilla’s revenue optimization and business development efforts. You will design, own, and scale forecasting models, build robust data sets and pipelines, develop dashboards and tools in Looker, collaborate with GTM teams, lead deep-dive analyses, and communicate findings to stakeholders. This role requires a Master's or PhD in a related field, 2+ years of experience in quantitative analysis, and expertise in statistical modeling and data extraction. You will leverage your skills to improve Firefox's development and contribute to Mozilla's mission of building a better internet. The position offers generous benefits, including performance-based bonuses, comprehensive health coverage, retirement contributions, wellness days, paid time off, a home office stipend, a professional development budget, and considerable parental leave.

Requirements

• Master’s or PhD in Data Science, Statistics, Computer Science, or a related field
• 2+ years of professional experience doing quantitative analysis, particularly in an Internet-focused, consumer-focused organization
• Background in applied statistical modeling on large experimental or observational data sets
• Experience extracting data from a variety of sources (solid understanding of SQL is required)
• Proven ability to build forecasting, causal inference, and time series models (ARIMA, Prophet, Bayesian approaches, etc.)
• Proficiency with one or more programming languages: Python preferred
• Effective and persuasive written and oral communication skills in English
• Ability to interpret large amounts of data, multi-task, and produce results independently or collaboratively in a team environment
• Commitment to our values
• Welcoming differences
• Being relationship-minded
• Practicing responsible participation
• Having grit
• A global perspective in how to conduct research and understanding of cultural nuances

Responsibilities

• Design, own, and scale forecasting models that inform revenue planning, demand estimation, and growth strategies (e.g., product revenue and key revenue drivers), with a focus on automation and long-term reusability
• Build robust, well-documented data sets and forecasting pipelines that support both day-to-day operations and deeper strategic analysis across teams
• Develop clear, intuitive dashboards and tools in Looker to help teams explore data, track performance, and make fast, informed decisions
• Collaborate with GTM teams to build ROI-focused frameworks that drive insights across campaigns, markets, and customer segments
• Lead deep-dive analyses into user behavior, engagement, and monetization funnels to uncover opportunities and improve outcomes
• Break down complex business questions into clear analytical approaches, and communicate findings and trade-offs with clarity to cross-functional stakeholders
• Promote strong data quality and lead efforts to standardize key metrics across business functions
• Champion a data-driven culture by contributing to best practices, encouraging experimentation, and fostering continuous learning across the data science community at Mozilla

Preferred Qualifications

Experience working in a distributed, open-source oriented organization is a plus

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)