Senior Marketing Data Scientist

Why Mozilla? Mozillians design, build and distribute open‑source software that enables people to enjoy the internet on their terms.

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.

• 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‑dives 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.

• 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., Big Query, 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., Causal Impact, Geo Lift) 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:
  • Being relationship‑minded
  • Having grit

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 orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hi to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic 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.

Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.