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Fanatics, Inc.

Senior Data Scientist

Fanatics, Inc.

Senior Data Scientist focused on improving marketing effectiveness through data science and machine learning at Fanatics. Collaborating with cross-functional teams to drive business outcomes.

Posted 6/27/2026full-timeSan Mateo • California • 🇺🇸 United StatesSenior💰 $170,000 - $210,000 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Work on data science projects across marketing and customer domains, including personalization, lifecycle optimization, retention, and engagement
  • Build, validate, and deploy machine learning and statistical models for use cases such as propensity modeling, segmentation, and LTV
  • Partner with cross-functional stakeholders (Marketing, Product, CRM, Engineering) to understand business problems and translate them into data science solutions
  • Contribute to the end-to-end model development lifecycle, including data exploration, feature engineering, modeling, evaluation, and deployment
  • Analyze large and complex datasets to identify trends, opportunities, and areas for improvement in customer experience and marketing performance
  • Apply appropriate statistical methods and experimentation techniques to evaluate model performance and business impact
  • Collaborate with engineering teams to ensure models are production-ready and integrated into downstream systems
  • Communicate findings and recommendations clearly to technical and non-technical stakeholders
  • Contribute to team-level best practices in modeling, code quality, and documentation
  • Support and mentor junior team members through collaboration and knowledge sharing

Requirements

What you’ll need
  • BS or higher in a technical or quantitative field (Computer Science, Operations Research, Statistics, Economics, etc.)
  • 5+ years of hands-on work in marketing data science or related areas
  • Experience building and deploying machine learning models in production environments
  • Strong foundation in statistics and machine learning
  • Proficiency in Python and SQL, with experience working on large datasets
  • Experience working with customer or marketing-related data (e.g., personalization, segmentation, LTV, or experimentation)
  • Ability to work on moderately complex problems with some guidance
  • Strong communication and collaboration skills

Benefits

Comp & perks
  • wellness programs with fitness and weight management partners
  • paid maternity paternity leave
  • infertility treatment
  • flexible time off
  • competitive 401k plan

ATS Keywords

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Hard Skills & Tools
machine learningstatistical modelspropensity modelingsegmentationLTVdata explorationfeature engineeringmodel evaluationPythonSQL
Soft Skills
communicationcollaborationmentoringproblem-solving
Certifications
BS in Computer ScienceBS in Operations ResearchBS in StatisticsBS in Economics