Senior Marketing Data Scientist

About the Role

The Marketing Data Science team plays a critical role in guiding responsible and effective marketing investment decisions. The team's work centers on end-to-end measurement solutions, touching measurement instrumentation, data modeling, experiment design, execution, and the translation of insights into actionable recommendations. As a Senior Marketing Data Scientist, you will be responsible for taking a hands-on role in answering complex marketing questions and contributing to the development of new analytical and measurement solutions.

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 analytics needs and develop solutions to meet those needs
• Collaborate with cross-functional teams, including product, engineering, and design, to ensure that marketing insights are integrated into product development and decision-making
• Stay up-to-date with the latest trends and technologies in marketing analytics and data science, and apply that knowledge to drive innovation and improvement in the team's work
• Develop and maintain documentation of the team's processes, tools, and solutions, to ensure transparency and continuity
• Participate in the development of the team's strategy and goals, and contribute to the planning and prioritization of the team's work

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 (preferred)
• Strong SQL skills and experience working with relational databases (e.g., BigQuery, Redshift) to extract, transform, and synthesize data
• Experience with Python and its associated data science ecosystem (e.g., Pandas, NumPy, scikit-learn)
• Strong analytical skills, with the ability to collect, organize, and analyze large data sets
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Experience with data visualization tools (e.g., Tableau, Power BI) and the ability to create intuitive and informative visualizations
• Strong understanding of marketing analytics and metrics, including ROI, attribution, and customer lifetime value

Nice to Have

• Experience with machine learning and predictive modeling
• Knowledge of cloud-based data platforms (e.g., AWS, GCP) and their associated tools and services
• Experience with Agile development methodologies and version control systems (e.g., Git)
• Familiarity with Mozilla's products and mission

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work on high-impact projects that align with Mozilla's mission
• Collaborative and dynamic work environment
• Flexible working hours and remote work options
• Professional development opportunities, including training and education programs
• Access to the latest tools and technologies in marketing analytics and data science
• Recognition and rewards for outstanding performance and contributions
• Comprehensive health and wellness benefits, including medical, dental, and vision insurance
• Generous PTO and holiday schedule, including paid time off for vacation, sick leave, and holidays
• Retirement savings plan, including a company match
• Employee discounts on Mozilla products and services
• Opportunity to participate in Mozilla's employee resource groups and diversity and inclusion initiatives
• Access to Mozilla's internal job board, with opportunities for career growth and advancement
• Recognition as a leader in the tech industry, with opportunities for networking and professional development
• Chance to work with a talented and diverse team, with a commitment to making the internet better for people,

• To stand out in your application, be sure to highlight your experience with Google Ads and Analytics, as well as your ability to navigate complex data environments.
• Develop a strong portfolio that showcases your analytical skills and experience with data visualization tools.
• Prepare to discuss your experience with Python and its associated data science ecosystem, as well as your knowledge of marketing analytics and metrics.
• When negotiating salary, be sure to research the market rate for your role and experience level, and be prepared to discuss your expectations and requirements.
• Be prepared to discuss your experience with cross-functional teams, and your ability to communicate complex technical concepts to non-technical stakeholders.
• Be sure to research Mozilla's mission and values, and be prepared to discuss how your skills and experience align with the company's goals and objectives.
• Don't be afraid to ask questions during the interview process, and be sure to inquire about the team's dynamics and culture.
• Be prepared to provide specific examples of your experience and skills, and be sure to use the STAR method to structure your responses.