Mozilla
Senior Marketing Data Scientist
Remote US · Senior
Sponsorship not specified$150k-$200kDetected 27 days ago
PythonSQLBigQueryRedshiftData ScienceData VisualizationStatisticsA/B TestingGoogle AdsGoogle AnalyticsForecastingProblem Solving
About the role
- 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.
Responsibilities
- Own marketing tests end-to-end, leveraging and contributing to our Python-based measurement workflows.
- Collaborate with senior ICs to address critical data infrastructure needs, support org-wide migrations, and develop new analytical and measurement solutions.
- Develop reporting and monitoring tools that surface business insights and increase visibility into marketing performance and impact.
- 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.
- 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.
- Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Nice to have
- 2-3 years of experience conducting quantitative analyses, ideally within a marketing or growth environment.
- Master's degree or higher in a computer, mathematical, physical, life, or social science discipline (preferred).
- Strong SQL skills and experience working with relational databases (e.g., BigQuery, Redshift) to extract, transform, and synthesize data.
- Proficiency with visualization and reporting tools, such as Python, Looker, or Redash, and experience building clear, actionable reporting solutions.
- Knowledge of core statistical methods used for hypothesis testing and analytical inference.
- Experience with geo experiments or synthetic control models (e.g., CausalImpact, GeoLift) is a plus.
- Familiarity with digital marketing and measurement platforms (e.g., Google Analytics, Google Ads, Meta Business Suite) is a plus.
- Strong analytical and problem-solving skills, with the ability to translate data into clear insights, recommendations, and next steps, communicated concisely and transparently.
Compensation
- $150,000 - $200,000 USD
- $138,000 - $184,000 USD
- $127,000 - $170,000 USD
- Annual professional development budget
Benefits
- 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
- One-time home office stipend
- Quarterly well-being stipend
- Considerable paid parental leave
- Employee referral bonus program
- Other benefits (life/AD&D, disability, EAP, etc. - varies by country)
- Commitment to diversity, equity, inclusion, and belonging
Company info
- Welcoming differences
- Being relationship-minded
- Practicing responsible participation
- Having grit
- Commitment to our values:
- This means we aren't beholden to any shareholders - only to our mission.
- 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.
Visa & Work Authorization
- omestic 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
Apply directly at Mozilla →Create a free account for alerts like thisView Mozilla immigration profile
This listing is sourced directly from Mozilla's careers page and normalized into a canonical job model.