Remote opportunity at
MozillaStaff Data Scientist, Ads
This remote, full-time Staff Data Scientist position is in Mozilla's Monetization Data Science group, which backs the advertising side of the business while keeping Firefox's privacy…
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About This Role
This remote, full-time Staff Data Scientist position is in Mozilla's Monetization Data Science group, which backs the advertising side of the business while keeping Firefox's privacy standards intact. The listing says Mozilla's ads operation is expanding fast, with new products, geographies, and sales offers. The data scientist acts as the principal analytics partner to the Ads organization, working alongside Product and Engineering teams, plus Sales, Finance, and executive leaders. Core…
Job Description
This remote, full-time Staff Data Scientist position is in Mozilla's Monetization Data Science group, which backs the advertising side of the business while keeping Firefox's privacy standards intact. The listing says Mozilla's ads operation is expanding fast, with new products, geographies, and sales offers.
The data scientist acts as the principal analytics partner to the Ads organization, working alongside Product and Engineering teams, plus Sales, Finance, and executive leaders. Core tasks include spotting and ranking the most valuable opportunities, owning hard analytical questions from framing through recommendation and follow-up, and designing measurement systems for new ad products. Those systems involve defining metrics, experiments, tracking instrumentation, and reporting.
The role examines ad revenue and performance to uncover drivers and tradeoffs, informing product and business choices. The scientist translates results, assumptions, and uncertainty into guidance for both technical colleagues and senior executives, and balances analytical depth with executive-level decision making in an unclear setting.
Applicants should have eight-plus years of quantitative analytics work, including ownership of analysis that matters to the business. Background in digital ads or a comparable revenue model is expected, as are strong Python and SQL and command of statistical, experimental, and forecasting techniques. Strong judgment, pragmatic rigor, and an ability to earn trust from both technical peers and leaders are required.
Benefits include performance bonuses, medical, dental, and vision coverage, retirement contributions that vest immediately, wellness days, a home office stipend, a development budget, and paid parental leave. The listing gives no single salary; pay ranges depend on location and appear in the application form.
Responsibilities
- Serve as the principal analytics contact for the Ads business, spanning product, engineering, sales, finance, and leadership
- Own difficult analytical questions from framing through validation, recommendation, and follow-up
- Create measurement approaches for new ad offerings, covering metrics, experiments, instrumentation, and reporting
- Examine ad revenue and performance to identify drivers and weigh tradeoffs
- Convey findings and uncertainty to technical teams and executives in plain terms
Requirements
- Eight-plus years in quantitative analysis, analytics, or data science roles
- Record of owning business-critical analysis from start to finish
- Strong Python and SQL
- Applied statistics, experimentation, and forecasting for real business questions
- Ability to frame open-ended problems and move them to a decision
- Track record of earning trust while delivering difficult messages to senior audiences
Qualifications
- Experience in digital advertising or a comparable monetization business
- Grasp of how product behavior, user outcomes, advertiser activity, and revenue interact
Core Skills
Benefits
- Performance bonus eligibility for qualifying staff
- Medical, dental and vision insurance
- Retirement contributions that vest immediately
- Quarterly company-wide wellness days
- One-time home office allowance
- Yearly professional development funds
- Quarterly well-being allowance
- Generous paid parental leave
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is the job remote?
Yes. It is listed as remote and full time.
What background is required?
Eight-plus years of quantitative analysis work, including digital advertising or monetization experience, are asked for.
Which tools matter?
Strong Python and SQL, plus statistical, experimental, and forecasting methods.
Is a salary listed?
No single figure is posted. Hiring ranges appear by location in the application form.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.