Job description

To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu. To learn more about our Hiring Range System, please click this link. 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 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. 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. What you’ll do: 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 What you’ll bring: 8+ years of experience in data science, analytics, or applied quantitative roles, with demonstrated ownership of complex, business-critical analytical work Experience with digital advertising or a related monetization business, with an understanding of how product, user, advertiser, and revenue outcomes interact Strong technical foundation in Python and SQL, with experience applying statistical, experimental, forecasting, and analytical methods to real-world business problems Demonstrated ability to independently frame ambiguous problems, identify what matters, and drive work from an open-ended question through a clear recommendation Excellent analytical judgment—balancing rigor with pragmatism, pressure-testing important results, setting realistic expectations, and communicating uncertainty appropriately Proven ability to build trusted relationships and communicate complex or challenging findings to audiences ranging from technical partners to senior executives Commitment to our values: Welcoming differences Being relationship-minded Practicing responsible participation Having grit What you’ll get: 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) About Mozilla Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online. Commitment to diversity, equity, inclusion, and belonging Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientation s, gender identities, and expressions. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation. We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. Group: D #LI-DNI Req ID: R2884

Requirements

Must-haves

To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu.
To learn more about our Hiring Range System, please click this link.
Why Mozilla?
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.
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
8+ years of experience in data science, analytics, or applied quantitative roles, with demonstrated ownership of complex, business-critical analytical work
Experience with digital advertising or a related monetization business, with an understanding of how product, user, advertiser, and revenue outcomes interact
Strong technical foundation in Python and SQL, with experience applying statistical, experimental, forecasting, and analytical methods to real-world business problems
Demonstrated ability to independently frame ambiguous problems, identify what matters, and drive work from an open-ended question through a clear recommendation
Excellent analytical judgment—balancing rigor with pragmatism, pressure-testing important results, setting realistic expectations, and communicating uncertainty appropriately
Proven ability to build trusted relationships and communicate complex or challenging findings to audiences ranging from technical partners to senior executives
Welcoming differences
Being relationship-minded
Practicing responsible participation
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
Annual professional development budget

Nice-to-haves

Generous performance-based bonus plans to all eligible employees - we share in our success as one team
Employee referral bonus program

Application prep

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Benefits

Benefits detected in the listing.

Dental

Vision

Parental Leave

Wellness

Professional Development