Senior Marketing Data Scientist

About Mozilla

Mozilla Corporation is a non-profit-backed technology company dedicated to shaping the internet for the better. We create pioneering brands like Firefox and are committed to reclaiming an internet built for people, not companies. Our work spans AI, social media, security, and more, all guided by our core mission to improve the internet for everyone. As a wholly-owned subsidiary of the non-profit Mozilla Foundation, we are mission-driven rather than shareholder-driven, fostering an environment of open-source collaboration.

About This Team And Role

The Marketing Data Science team is part of the Product Data Science organization. We provide analytical support and strategic insights to the Marketing department, focusing on responsible and effective investment decisions. Our core work involves developing end-to-end measurement solutions to quantify marketing ROI. This includes measurement instrumentation, data modeling, experiment design, execution, and translating insights into actionable recommendations. We also support KPI forecasting, budget allocation, self-service reporting, and advanced statistical modeling.As a Senior Data Scientist, you will tackle complex marketing challenges in a dynamic data environment. You will utilize your analytical skills, technical expertise, and business acumen to uncover insights, refine strategies, and identify new opportunities to maximize Marketing's impact.

What You’ll Do

• Own marketing tests from end-to-end, utilizing and contributing to our Python-based measurement workflows.
• Collaborate with senior individual contributors 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.

What You’ll Bring

• 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.
• Commitment to our values: Welcoming differences, Being relationship-minded, Practicing responsible participation, Having grit.

What You’ll Get

• Generous performance-based bonus plans.
• Rich medical, dental, and vision coverage.
• Generous retirement contributions with 100% immediate vesting.
• Quarterly all-company wellness days.
• 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).

Commitment to diversity, equity, inclusion, and belonging

Mozilla is committed to fostering diversity, equity, inclusion, and belonging. We encourage applications from all individuals, including members of equity-seeking communities. We provide reasonable accommodations for qualified individuals with disabilities during the application and interview process. Please contact hiringaccommodation@mozilla.com for assistance.We are an equal opportunity employer and do not discriminate on the basis of race, religion, gender, gender identity, color, national origin, pregnancy, ancestry, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.

Key skills/competency

• Marketing Data Science
• Python
• SQL
• Data Modeling
• Experiment Design
• Attribution
• Statistical Inference
• Data Visualization
• Performance Analysis
• Marketing ROI