Data Scientist

• Drive the analytical backbone of Mozilla’s revenue optimization and business development efforts
• 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 models to measure user and customer lifetime impact, and leverage these insights to optimize growth, monetization, and strategic investments
• 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

Staff Revenue Data Scientist

Scientist II, Real World Data Science

Data Scientist I, Real World Data Science

Lead Data Scientist, Cat Foresight

Senior Data Scientist

Data Scientist II