Responsibilities

• Partner closely with cross-functional stakeholders across Marketing, Product, Engineering, CRM, and Design to understand business problems and translate them into well-scoped data science solutions.
• Contribute to team-level best practices in modeling methodology, code quality, and documentation, raising the overall standard of the Marketing Data Science function.
• Support and mentor junior team members through active collaboration, knowledge sharing, and constructive feedback on technical work.
• Build, validate, and deploy machine learning and statistical models including propensity modeling, customer segmentation, and lifetime value estimation that directly improve the fan experience and marketing relevance.
• Work across marketing and customer domains, including personalization, lifecycle optimization, retention, and engagement, to ensure fans receive timely, meaningful interactions.
• Analyze large and complex customer datasets to identify trends, opportunities, and gaps in customer experience and marketing performance.
• Apply appropriate experimentation and measurement techniques including A/B testing and causal inference to rigorously evaluate the fan and business impact of deployed models.
• Contribute to the full end-to-end model development lifecycle, including data exploration, feature engineering, modeling, evaluation, and production deployment.
• Develop scalable, production-ready solutions in collaboration with engineering teams to ensure models are integrated effectively into downstream systems and marketing platforms.
• Explore and apply large-scale data processing tools such as Spark to address the complexity and volume of Fanatics Commerce customer data.

Requirements

• 5+ years of hands-on experience in marketing data science or related applied data science domains, with demonstrated ability to build and deploy machine learning models in production environments.
• Strong foundation in statistics and machine learning, including proficiency in Python and SQL and experience working with large-scale datasets.
• Experience working with customer or marketing-related data across use cases such as personalization, segmentation, lifetime value modeling, or experimentation.
• Ability to work independently on moderately complex problems, structuring ambiguous questions into actionable analyses and scalable model solutions.
• Strong communication and collaboration skills, with the ability to present technical findings clearly to both technical and non-technical stakeholders.
• Familiarity with experimentation and measurement methodologies, including A/B testing and foundational causal inference concepts.
• Experience working cross-functionally with Marketing, Product, and Engineering teams to drive data science projects from problem definition through deployment.
• BS or higher in a technical or quantitative field such as Computer Science, Statistics, Data Science, Mathematics or a related discipline.
• Location: Redwood City, CA
• Hybrid work environment flexibility, with Tuesdays, Wednesdays, and Thursdays in office; Mondays and Fridays remote.