Data Scientist

Fanatics is building a leading global digital sports platform. As a Data Scientist, you will support the development of analytical models and reporting that help improve products and inform business decisions.

What you'll do:

• Partner with Product, Engineering, and Analytics teams to understand business questions and support data-driven decision making
• Build, validate, and maintain analytical models and data pipelines under the guidance of senior team members
• Perform statistical analyses and exploratory data analysis to identify trends, patterns, and opportunities
• Support A/B testing initiatives by assisting with experiment design, data validation, statistical analysis, and communicating results
• Develop dashboards and reports using tools such as Sigma or Looker to help stakeholders monitor product performance and key business metrics
• Write efficient SQL queries and work with cloud-based data warehouses such as Snowflake or BigQuery to prepare and analyze data
• Use Python or R to automate analyses and develop reproducible analytical workflows
• Leverage AI-assisted development tools (such as Claude or OpenAI) and engineering platforms (GitHub, Airflow) to improve productivity and collaboration
• Collaborate with senior data scientists to improve existing models and analytical processes while continuing to build technical expertise
• Clearly communicate analytical findings and recommendations to technical and non-technical stakeholders

What they're looking for:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or another quantitative field, or equivalent practical experience
• 1–3 years of experience in data science, analytics, or a related quantitative role
• Working knowledge of SQL and experience querying large datasets
• Proficiency in Python or R for data analysis
• Foundational understanding of statistics, hypothesis testing, regression analysis, and experimental design
• Familiarity with machine learning concepts and common libraries such as scikit-learn
• Strong analytical thinking, curiosity, and willingness to learn new technologies
• Excellent communication and collaboration skills
• Master's degree in a quantitative discipline
• Experience with business intelligence tools such as Sigma, Looker, or Tableau
• Exposure to cloud data platforms including Snowflake or BigQuery
• Coursework or practical experience with machine learning, forecasting, or experimentation

Benefits:

• For information about our benefits, please visit https://benefitsatfanatics.com/