Senior Data Scientist, Revenue and Business

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Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. 

The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. 

About this team and role:

The Revenue Data Science team partners with Business Development and Finance to evaluate revenue growth opportunities and translate usage data into business-relevant insights. The team’s work informs prioritization, investment decisions, and long-term growth strategy across Firefox.

This Senior Data Scientist role is a highly business-facing position focused on shaping ambiguous questions, guiding data-driven decisions, and ensuring analytical outputs are accurate and actionable. The role emphasizes judgment, communication, and influence, supported by strong technical execution.

What you’ll do: 

• Evaluate and compare multiple revenue growth opportunities to inform Business Development prioritization, investment decisions, and negotiation strategy
• Develop clear analytical frameworks to assess trade-offs, risks, and expected impact across competing options
• Produce executive-ready reporting and dashboards that translate complex analyses into concise, decision-oriented narratives
• Design measurement plans to evaluate new growth initiatives and validate assumptions over time
• Ensure high standards of data validation and accuracy for analyses surfaced to senior leadership

What you’ll bring: 

• 6+ years of experience in data science, analytics, or applied quantitative roles, with a track record of influencing business decisions through data
• Advanced proficiency in SQL and Python for analysis, modeling, and validation
• Strong business judgment and stakeholder management skills, including comfort assessing trade-offs and pushing back on assumptions when needed
• Practical experience with statistical analysis and experiment design, applied to real-w