Data Scientist, League Insights

About The Role

The Data Scientist for League Insights supports the Senior Director, League Strategy and Insights in building the analytical and visualization infrastructure that powers decision‑making across Overtime Elite (OTE). This role sits at the intersection of data science, basketball operations, talent evaluation, and league systems—translating complex datasets into intuitive tools and insights that help OTE evaluate players and teams, identify talent, project future outcomes, understand competition, and tell more compelling stories about on‑court performance.

The goal of this role is to build scalable intelligence systems that improve how the league evaluates and recruits talent, assesses teams and competition, supports team performance, and communicates the stories that deepen fan understanding of OTE. This is a hands‑on, mid‑level role for someone who can independently own defined analytical work streams while collaborating closely with basketball, operations, content, broadcast, and technical stakeholders.

As part of a small league office team, this person’s work will directly inform how OTE evaluates players and teams, structures competition, identifies opportunities for growth, and shapes the future direction of the league.

The Data Scientist for League Insights supports the Senior Director, League Strategy and Insights in building the analytical and visualization infrastructure that powers decision‑making across Overtime Elite (OTE). This role sits at the intersection of data science, basketball operations, talent evaluation, and league systems—translating complex datasets into intuitive tools and insights that help OTE evaluate players and teams, identify talent, project future outcomes, understand competition, and tell more compelling stories about on‑court performance.

The goal of this role is to build scalable intelligence systems that improve how the league evaluates and recruits talent, assesses teams and competition, supports team performance, and communicates the stories that deepen fan understanding of OTE. This is a hands‑on, mid‑level role for someone who can independently own defined analytical work streams while collaborating closely with basketball, operations, content, broadcast, and technical stakeholders.

As part of a small league office team, this person’s work will directly inform how OTE evaluates players and teams, structures competition, identifies opportunities for growth, and shapes the future direction of the league.

Success in this role requires someone who can bring structure to evolving needs, learn new tools quickly, and deliver practical solutions in a fast‑moving sports environment.

• Design and maintain interactive data platform that translates league, team, and player data into actionable insights for coaches, teams, league staff, and leadership
• Develop intuitive visualization tools that simplify complex performance, evaluation, and competition data for non‑technical users
• Own defined components of scalable analytics products that support league‑wide decision‑making, talent evaluation, and team performance analysis
• Ensure analytics products are accessible, reliable, and operationally useful across the league ecosystem

• Develop and maintain reliable processes for integrating data from multiple league systems into a unified analytics environment
• Maintain clean, structured datasets that support reporting, evaluation, modeling, and analysis
• Partner with League Operations to ensure accurate and consistent data flow across statistical, game, performance, and operational systems
• Improve data reliability and reduce manual intervention across recurring analytical workflows

• Build, test, and refine statistical and predictive models that support player evaluation, talent identification, team analysis, and competitive forecasting
• Develop frameworks that help OTE identify high‑potential talent and project players across roles, competition levels, and future environments
• Analyze team quality, roster strength,…