Senior Marketing Data Scientist

About the Role

As a Senior Marketing Data Scientist, you will be at the forefront of answering complex marketing questions, navigating the often dynamic and imperfect data environment. Your strong analytical skills, combined with technical depth and business domain understanding, will be crucial in uncovering insights, refining existing tactics, and identifying new opportunities to enhance marketing's impact. This role not only requires a hands-on approach to owning marketing tests end-to-end but also the ability to collaborate with senior individuals to address critical data infrastructure needs, support org-wide migrations, and develop new analytical and measurement solutions.

Mozilla's mission to make the internet better for people, not companies, is reflected in its commitment to transparency, privacy, and community. As a Senior Marketing Data Scientist, you will be part of a team that values openness, inclusivity, and the pursuit of innovation. Your work will contribute to the development of pioneering brands like Firefox, the privacy-minded web browser, and will help shape the next 25 years of technology.

What You Will Do

• Own marketing tests end-to-end, leveraging and contributing to 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.
• Work closely with the marketing team to understand their data needs and develop solutions that meet those needs.
• Stay updated with the latest trends and technologies in marketing data science and apply this knowledge to improve Mozilla's marketing strategies.
• Contribute to the development of the team's knowledge base by documenting methodologies, sharing insights, and mentoring junior team members.
• Participate in cross-functional teams to design and implement new data-driven marketing initiatives.

What We Are Looking For

• 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.
• 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 digital marketing and measurement platforms (e.g., Google Analytics, Google Ads, Meta Business Suite).
• 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 Mozilla's values, including a focus on diversity, equity, and inclusion.
• Ability to work in a fast-paced environment and adapt to changing priorities.

Nice to Have

• Experience with geo experiments or synthetic control models (e.g., CausalImpact, GeoLift).
• Familiarity with machine learning algorithms and their application in marketing data science.
• Knowledge of data engineering principles and experience with data pipeline development.
• Experience working with cross-functional teams, including marketing, product, and engineering.

Benefits and Perks

• Competitive compensation package.
• Opportunity to work with a global brand that is shaping the future of the internet.
• Flexible and remote work arrangements, allowing you to work from anywhere.
• Comprehensive health insurance and wellness programs.
• Generous paid time off policy, including vacation, sick leave, and holidays.
• Professional development opportunities, including training, mentorship, and conference attendance.
• Access to the latest tools and technologies in marketing data science.
• Collaboration with a talented and diverse team of professionals who are passionate about making the internet better for people.

• Tip: Ensure you have a strong portfolio that showcases your ability to work with Google Ads and Analytics, as well as your experience in data visualization and statistical methods.
• When applying, highlight your passion for making the internet better for people and how your skills align with Mozilla's mission.
• Be prepared to discuss how you handle complex data environments and how you communicate insights to non-technical stakeholders.
• Show a keen interest in staying updated with the latest trends in marketing data science and how you apply this knowledge to improve marketing strategies.
• During interviews, ask about the team's current challenges and how you can contribute to solving them, demonstrating your problem-solving skills and ability to think critically.