Data Scientist

About Fanatics

Fanatics is establishing itself as a premier global digital sports platform, passionate about engaging worldwide sports enthusiasts. We enhance visibility and broaden reach for hundreds of sports partners by offering diverse products and services spanning Fanatics Commerce, Collectibles, and Betting & Gaming. Our platform enables fans to buy licensed merchandise, collect physical and digital sports assets, and engage with an evolving Sportsbook and iGaming experience. With a robust network comprising over 100 million sports fans globally, nearly 900 sports properties, thousands of athletes and celebrities, and over 2,000 retail outlets including Lids stores, our workforce exceeding 22,000 employees is dedicated to enriching the fan journey.

About the Team

Fanatics Collectibles operates at the nexus of collectibles, culture, and technology. Supported by top-tier investors and partners, it aims to become the global frontrunner in next-generation collectibles. Leveraging the extensive Fanatics digital ecosystem spanning over 900 sports properties and engaging more than 81 million fans, the team is revolutionizing collectibles for fans, partners, and creators alike.

Role Overview

The Data Scientist will contribute to the creation of analytical models, experimentation efforts, and reporting processes that drive product enhancement and guide business strategy. Collaborating closely with senior data scientists, product managers, engineers, and analysts, this role will utilize statistical approaches and machine learning techniques to analyze data, uncover trends, and support data-centric product advancements. It is tailored for individuals early in their data science journey who are keen to grow their technical skills in a dynamic, product-driven environment.

Responsibilities

• Collaborate with Product, Engineering, and Analytics teams to interpret business challenges and facilitate data-driven decision making.
• Develop, validate, and upkeep analytical models and data pipelines under senior guidance.
• Conduct statistical and exploratory data analyses to discover patterns, trends, and opportunities.
• Assist in experimental design and analysis for A/B testing, including data validation and communicating outcomes.
• Create dashboards and reports using tools like Sigma or Looker to monitor product and business performance.
• Write optimized SQL queries and manage data extraction from cloud warehouses such as Snowflake or BigQuery.
• Use Python or R for automating analyses and establishing reproducible workflows.
• Utilize AI-driven development tools and engineering platforms to enhance productivity and collaboration.
• Work with senior data scientists to refine models and analytical processes while expanding technical knowledge.
• Effectively communicate data insights and suggestions to both technical and non-technical audiences.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or related quantitative discipline, or equivalent experience.
• Experience of 1 to 3 years in data science, analytics, or related quantitative roles.
• Proficient in SQL for querying large datasets.
• Experience with Python or R for data analysis.
• Strong foundational knowledge of statistics, hypothesis testing, regression, and experimental design.
• Familiarity with machine learning basics and libraries such as scikit-learn.
• Analytical mindset with curiosity and an eagerness to learn new technologies.
• Excellent communication and teamwork skills.

Additional Preferred Skills

• Master’s degree in a quantitative field.
• Experience with BI tools like Sigma, Looker, or Tableau.
• Exposure to cloud data platforms such as Snowflake or BigQuery.
• Experience in machine learning, forecasting, or experimentation from coursework or practice.
• Background in consumer tech, e-commerce, marketplaces, or digital products.
• Familiarity with behavioral analytics tools such as Mixpanel, Amplitude, or Google Analytics.

Additional Information

To verify authenticity, candidates should note that Fanatics never requests payment from applicants and official communications will come from a Fanatics email address ending with @collectfanatics.com. Applicants are recommended to interact with official company channels for their security.

Compensation ranges vary by location; the reported New York City base salary spans from $135,000 to $168,750 annually. Final pay considers factors including experience and qualifications, exclusive of additional incentives. Benefits details are available through Fanatics' benefits resources.