Staff Data Scientist (Ads)

Join Mozilla's Monetization Data Science team as a Staff Data Scientist. In this role, you will partner with various departments to understand and grow Mozilla's advertising business while prioritizing user privacy. You will own complex analytical problems, develop measurement frameworks for new advertising products, analyze advertising revenue and performance, and communicate findings to diverse audiences. This position offers a range of benefits, including health and wellness coverage, mental health support, generous time off, parental leave, financial incentives, learning and development opportunities, and more.

• Serve as a lead Data Science partner for Mozilla’s Ads business, working across Product, Engineering, Sales, Finance, and senior leadership to identify and prioritize high-impact opportunities.
• Own complex analytical problems end-to-end, from framing the business question and determining the right approach to validating results, communicating recommendations, and driving follow-through.
• Develop measurement frameworks for new and evolving advertising products, including success metrics, experimentation, instrumentation, and reporting.

• This is a highly visible role that requires strong technical and business judgment, excellent communication, and the ability to move comfortably between deep analytical work and executive-level decision-making
• Demonstrated ability to independently frame ambiguous problems, identify what matters, and drive work from an open-ended question through a clear recommendation
• Being relationship-minded
• Strong technical foundation in Python and SQL, with experience applying statistical, experimental, forecasting, and analytical methods to real-world business problems
• Excellent analytical judgment—balancing rigor with pragmatism, pressure-testing important results, setting realistic expectations, and communicating uncertainty appropriately
• Practicing responsible participation
• Welcoming differences
• Experience with digital advertising or a related monetization business, with an understanding of how product, user, advertiser, and revenue outcomes interact
• Having grit
• Proven ability to build trusted relationships and communicate complex or challenging findings to audiences ranging from technical partners to senior executives
• 8+ years of experience in data science, analytics, or applied quantitative roles, with demonstrated ownership of complex, business-critical analytical work
• Commitment to our values: