Senior Marketing Data Scientist

## About the Role As a Senior Marketing Data Scientist at Mozilla, you will be part of a team that provides comprehensive analytical support to guide responsible and effective marketing investment decisions. Your work will center on end-to-end measurement solutions, touching measurement instrumentation, data modeling, experiment design, execution, and the translation of insights into actionable recommendations. You will take a hands-on role in answering complex marketing questions and navigating a dynamic, often imperfect data environment.

The Marketing Data Science team sits within the broader Product Data Science organization and plays a critical role in helping Mozilla achieve its mission. You will have the opportunity to collaborate with senior ICs to address critical data infrastructure needs, support org-wide migrations, and develop new analytical and measurement solutions.

Mozilla is a non-profit-backed technology company that has shaped the internet for the better over the last 25 years. With more than 225 million people around the world using Mozilla's products each month, the company is shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies.

## 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 - Design, build, and distribute open-source software that enables people to enjoy the internet on their terms - Leverage Google Ads and Google Analytics expertise to inform marketing decisions - Support KPI forecasting, budget allocation, and self-service reporting - Develop advanced statistical modeling solutions to drive marketing decisions - Work with cross-functional teams to identify new opportunities to enhance Marketing’s impact

## What We Are Looking For - 2-3 years of experience conducting quantitative analysis and data modeling - Strong analytical skills, technical depth, and business domain understanding - Expertise in Google Ads and Google Analytics - Experience with Python-based measurement workflows - Strong understanding of marketing measurement and attribution - Ability to communicate complex data insights to non-technical stakeholders - Experience working with cross-functional teams to drive business decisions - Strong problem-solving skills and attention to detail - Passion for driving marketing decisions with data

## Nice to Have - Experience with data visualization tools such as Tableau or Power BI - Knowledge of machine learning algorithms and modeling techniques - Experience with cloud-based data platforms such as AWS or Google Cloud - Certification in Google Ads or Google Analytics - Experience working in a remote or distributed team environment

## Benefits and Perks - Opportunity to work on a team that is shaping the future of the internet - Competitive compensation and benefits package - Flexible work arrangements and remote work options - Professional development opportunities and training - Access to the latest technologies and tools - Collaborative and dynamic work environment - Opportunity to work with a talented and diverse team - Comprehensive health insurance and wellness programs - Generous paid time off and vacation policy

- To stand out in this role, make sure to highlight your expertise in Google Ads and Google Analytics, as well as your ability to communicate complex data insights to non-technical stakeholders.

• Be prepared to provide examples of your experience with data modeling and statistical analysis, and how you have applied these skills to drive marketing decisions.
• Show a passion for Mozilla's mission and a willingness to learn and adapt in a fast-paced and dynamic environment.
• Consider creating a portfolio of your work, including case studies or examples of your data analysis and visualization skills.
• Be prepared to negotiate salary and benefits, and do your research to determine a fair and competitive offer.
• Look for red flags such as a lack of transparency or accountability in the company's data practices, or a lack of investment in employee development and growth.