Senior Data Scientist, Marketing and Personalization

Fanatics Commerce • San Mateo, CA

20h • $170,000 - $210,000 • Hybrid

About The Position

Fanatics Commerce is seeking a Senior Data Scientist to join their Marketing Data Science team. This role will focus on improving marketing effectiveness through machine learning and advanced analytics. Key areas of focus include purchase propensity, digital ad optimization, customer routing, incrementality, and personalization. The ideal candidate will have a strong background in applying data science to marketing and customer-centric problems, possess solid technical expertise, and be able to translate complex business questions into structured analyses and scalable model solutions. The Senior Data Scientist will drive business and fan impact by leveraging data, automation, and AI-enabled insights, embodying Fanatics' BOLD Leadership Principles.

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, Operations Research, Statistics, Economics, or a related discipline.

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.
• Bring curiosity and structured thinking to ambiguous problem spaces, converting loosely defined business questions into rigorous analytical frameworks.
• Own the quality, documentation, and communication of modeling outputs, ensuring findings and recommendations are clearly conveyed to both technical and non-technical audiences.
• Manage project work across multiple concurrent initiatives with minimal oversight, delivering reliable results on moderately complex problems.
• Demonstrate a track record of measurable business impact through data science work, taking accountability for outcomes rather than just outputs.
• Travel up to 10% of the time as needed for partner meetings, events, and related activities.

Benefits

• The salary range represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/

What This Job Offers

• Job Type: Full-time
• Career Level: Senior