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The Marketing Data Science team sits within the broader Product Data Science organization and provides comprehensive analytical support and thought partnership to Marketing to guide responsible and effective investment decisions. Our work centers on end-to-end measurement solutions that seek to quantify the true return of our marketing efforts—touching measurement instrumentation, data modeling, experiment design, execution, and the translation of insights into actionable recommendations. Beyond measurement, we support KPI forecasting, budget allocation, self-service reporting, and a wide range of advanced statistical modeling solutions. As a Senior Data Scientist, you will take a hands-on role in answering complex marketing questions and navigating a dynamic, often imperfect data environment. You will leverage your strong analytical skills, technical depth, and business domain understanding to uncover insights, refine existing tactics, and help identify new opportunities to enhance Marketing’s impact.
Job Responsibility
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
Conduct deep-dive analyses to investigate questions related to performance, audiences, monetization, attribution, and data integrity
Provide flexible analytical support across the team’s project portfolio, taking high-level direction from senior ICs while independently owning specific components of the solution
Requirements
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
Strong analytical and problem-solving skills, with the ability to translate data into clear insights, recommendations, and next steps, communicated concisely and transparently
Commitment to our values: Welcoming differences
Being relationship-minded
Practicing responsible participation
Having grit
Nice to have
Experience with geo experiments or synthetic control models (e.g., CausalImpact, GeoLift)
Familiarity with digital marketing and measurement platforms (e.g., Google Analytics, Google Ads, Meta Business Suite)
What we offer
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)
Flexible work environment (majority of Mozillians work remotely)
Industry-leading paid parental leave (up to 26 weeks of fully paid leave for childbearing parents and up to 12 weeks for non-childbearing parents)
Reimbursement for professional development (up to $3,000/year)
A work setup including the latest hardware and software of your choice