About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform.

Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

Requirements

, evaluate technologies, and identify opportunities to innovate and improve data science capabilities; Use creative problem-solving skills to analyze data and build statistical / machine learning models to help solve business problems from different perspectives; Work with data engineering lead to create services that can ingest and supply data to and from both internal and external sources and ensure data quality and timeliness; Build the data science team and lead in data scientist recruitment process; Guide and coach data scientists and own the deliverables of data visualization and dashboards to help the organization monitor performance, generate insights, and continuously improve user experience; Continuously grow the data science team’s skillsets; Establish playbooks to drive data product development process and consistent outcomes; Use strong communication skills (written and verbal) to lead the full lifecycle of model development, which spans from business problem discovery, data discovery to model deployment and monitoring; Evangelize data science across the entire company; identify and make the business case for data science based use cases; Where needed, conduct hands-on wrangling, processing, cleansing, and verifying data from different sources used for analysis; Analyze data with complex relationships, hierarchical levels, and time series, such as Pandas, PySpark; Use and recommend a wide range of machine learning algorithms and statistical modeling, including latest LLM developments; Utilize data visualization and dashboard tools, such as Tableau, PowerBI and Snowflake. ; reports to HQ in New York, NY. Salary: $336,350 - $356,350 per year.

S. equivalent in Quantitative Methods, Statistics, Econometrics, or related field, plus 5 years of professional experience as a Data Scientist, Operations Research Analyst, or any occupation, job title, or position leading a data science team in a technology organization.

Director of Data Science