Senior Data Scientist (Revenue & Business)

Mozilla; New York (NY); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health and wellness benefits

Mental health support

Generous parental leave

Performance-based bonus plans

401(k) retirement plan with company ã"

Job summary

Mozilla is seeking a Staff Data Scientist for its Ads organization in New York. The role partners with Product, Engineering, Sales, and Finance to identify high-impact opportunities and build end-to-end analyses that inform product and business decisions.

Responsibilities include developing measurement frameworks, translating complex findings for executives, and driving decisions in a fast-moving environment. Strong Python and SQL skills required.

Qualifications

• 8+ years of experience in data science, analytics, or applied quantitative roles.
• Experience with digital advertising or monetization is preferred.
• Ability to communicate complex findings to senior leadership.

Responsibilities

• Serve as a lead Data Science partner for Mozilla Ads, identifying high-impact opportunities.
• Own end-to-end analyses from framing questions to validating results and communicating recommendations.
• Develop measurement frameworks for new advertising products, including metrics and reporting.
• Analyze advertising revenue and performance to guide product and business decisions.

Skills

Python

SQL

Analytical thinking

Communication

Tools

Statistical software

Experimentation

Job description

• The Monetization Data Science team partners closely with Product, Engineering, Sales, Finance, and senior leadership to understand and grow Mozilla’s advertising business while protecting the user privacy experience that makes Firefox unique
• Mozilla’s Ads business is growing quickly, with new products, markets, and sales offerings creating significant opportunities for Data Science to shape how the business evolves
• We’re looking for a Staff Data Scientist who can serve as a trusted data partner to the Ads organization—identifying the questions that matter, building the measurement and analytical approaches needed to answer them, and helping teams make sound decisions in a fast-moving and ambiguous environment
• 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
• Analyze advertising revenue and performance to identify key drivers, evaluate opportunities and trade-offs, and inform product and business decisions
• Translate complex findings, assumptions, and uncertainty into clear recommendations for audiences ranging from technical partners to senior executives

Benefits

• Health and wellness: Mozilla covers medical, dental and vision plan premiums at 100% for U.S. and Canadian employees. Our offerings give you the options you need to manage your health — and your family’s — the way you want.
• Mental health: Mental health is as important as our physical health. That’s why Mozilla’s health benefits include therapy and coaching sessions to make sure our people have access to the care they need.
• Time away: With all of life’s demands, time away from work to disconnect and recharge is essential. In addition to country-specific holidays (12 in the U.S. and Canada), vacation and sick time start accruing right away (specifics vary by country). Everyone also takes a pause together on quarterly all-company wellness days, plus you get to celebrate the most personal holiday of all: your birthday.
• Parental leave: While Mozilla’s parental leave policies vary globally, our U.S. and Canadian-based employees can look forward to 26 weeks of paid leave for childbearing parents and 12 weeks of paid leave for non-childbearing parents.
• Financial: Mozilla is a private company, so our compensation isn’t tied to stock options or equity plans. Instead, we offer generous, performance-based bonus plans to all regular employees to underscore that we share in our success as one team. As for retirement savings for US and Canadian employees, Mozilla contributes a percentage of your eligible base salary each year to the 401(k) Plan/RRSP (regardless of whether you contribute or not), with 100% vesting.
• Learning and development: We’re big believers in learning by doing, and we also want to invest in your education and development beyond your role. Every employee is eligible for an annual professional development budget. Mozillians can put it toward technical or management training, certifications, conferences and more.
• Help when you need it: Life is full of surprises; that’s why it’s important to be prepared. Mozilla provides Life/AD&D and Short and Long Term Disability insurance (offerings may vary by locale) to ensure that you and your family will have a safety net in place should you ever need it.
• Plus a bit more: A few other benefits include a quarterly wellbeing stipend (to use on those things just for you), an employee referral bonus, internet reimbursement if you’re remote, and a budget for office essentials to make working remotely ergonomically comfortable.

• 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: