Senior Data Scientist, Marketing Science and Personalization
fanaticscommerce
Redwood City, CA, United States
Posted Sep 1, 2026
- Other
- Commerce - Digital Experiences
Job description
Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties.
At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset.
**ROLE OVERVIEW**
We are seeking a Senior Data Scientist to drive Marketing Data Science at Fanatics Commerce. This is a high-impact, high-visibility role focused on improving marketing effectiveness through data science and machine learning. You will work on key modeling areas such as purchase propensity, digital ad optimization, customer routing, incrementality, and personalization - helping to build and deploy models that drive measurable business outcomes.
The ideal candidate has a strong track record of applying data science to marketing or customer-focused problems and delivering actionable insights. You bring solid technical expertise, good business intuition, and the ability to translate ambiguous problems into structured analyses and scalable solutions.
In this role, you will partner closely with stakeholders across Marketing, Product, Engineering, CRM, and Design, contributing through hands-on modeling, thoughtful analysis, and clear communication of results.
**HOW WILL YOU DRIVE IMPACT**
**Team & Leadership Impact**
- 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.
**Fan & Customer Impact**
- 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.
**Innovation & Problem Solving**
- 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.
**Ownership & Execution**
- 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.
**AI & DIGITAL CAPABILITY**
We are building a future-ready organization. This role is expected to:
- Apply AI and technology to improve efficiency, quality, and outcomes
- Use data and digital tools to inform decisions and enhance performance
- Demonstrate curiosity and adaptability in adopting new technologies and ways of working
- Contribute to a culture of innovation and continuous improvement
**CAPABILITIES & EXPERIENCE YOU BRING**
**Required Qualifications:**
- 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.
**Education:**
BS or higher in a technical or quantitative field such as Computer Science, Statistics, Data Science, Mathematics or a related discipline.
**WORK LOCATION**
- Location: Redwood City, CA
- Hybrid work environment flexibility, with Tuesdays, Wednesdays, and Thursdays in office; Mondays and Fridays remote.
- Ability to travel up to 10% of the time for partner meetings, events, and other related activities.
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