Senior Marketing Data Scientist

2–3 years of experience conducting quantitative analyses, ideally within a marketing or growth environment.

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.

US Tier 1 Locations

$150,000

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$200,000 USD

US Tier 2 Locations

$138,000

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.

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.

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