Data Scientist – League Insights

About the Role

The Data Scientist for League Insights is a pivotal position supporting the Senior Director of League Strategy and Insights at Overtime Elite (OTE). This role combines data science expertise with basketball operations, talent assessment, and league data systems. The incumbent will translate multifaceted datasets into accessible tools and insights that empower OTE to evaluate players and teams, forecast talent trajectories, assess competition, and enhance storytelling around on-court performances. The key objective is to develop scalable intelligence systems that advance talent recruitment, team evaluation, competitive analysis, and fan engagement. This mid-level, hands-on role requires ownership of analytical projects and close collaboration across basketball, operations, content, broadcast, and technical departments. As part of a compact league office, the analyst's output directly influences league and team strategies, growth opportunities, and future league direction.

Primary Responsibilities

• Design, develop, and maintain interactive data platforms that convert league, team, and player information into actionable insights for coaches, teams, executives, and operational staff.
• Create user-friendly visualizations that distill complex metrics on performance, evaluation, and competition for users without technical backgrounds.
• Manage specific components within scalable analytics solutions that support strategic decision-making, talent evaluation, and team performance assessments league-wide.
• Ensure analytics tools are dependable, accessible, and effectively support the league ecosystem.
• Develop and sustain robust data integration workflows consolidating multiple league systems into unified analytics environments.
• Maintain well-structured, clean datasets facilitating reporting, evaluation, modeling, and analysis.
• Collaborate with League Operations to guarantee consistent and accurate data transfer across statistical, game, performance, and operational platforms.
• Enhance data reliability and reduce manual tasks in repetitive analytics processes.
• Construct, test, and refine statistical and predictive models for player evaluation, talent identification, team analyses, and competition forecasting.
• Create frameworks to identify high-potential talent, projecting player outcomes across roles, competition tiers, and future settings.
• Examine team quality, roster composition, performance trends, and competition context to guide recruiting, league participation, and expansion decisions.
• Advance comparative methods for evaluating players and teams spanning diverse leagues, circuits, schedules, roles, and competitive levels.
• Develop standardized benchmarks to assess players and teams, communicating projected results and influencing factors.
• Produce visual reports and frameworks that reveal performance patterns, development opportunities, and results relative to league norms.
• Convert statistical and observational data into practical insights for coaching and operational personnel.
• Support roster planning, player evaluation, recruiting, and team decisions through position-, role-, and competition-based benchmarks.
• Generate recurring intelligence and performance reports for league leadership, operations, teams, and media partners.
• Detect and communicate trends, milestones, and narratives explaining player and team success within OTE.
• Cooperate with content and broadcast teams to enhance coverage with analytical context and elevate fan comprehension.
• Guarantee clarity and usability of analytical findings for internal strategy and external storytelling.
• Develop and refine automated procedures for data handling, reporting, modeling, and performance monitoring.
• Utilize AI-assisted tools for coding, data analysis, documentation, and recurring operations while validating for accuracy.
• Create streamlined, repeatable workflows enhancing consistency, handoffs, scalability, and usability of analytics products.

Qualifications and Skills

• Possess 2–5 years of relevant experience in data science, sports analytics, performance modeling, or similar domains.
• Demonstrate motivation, curiosity, and a self-directed approach, embracing innovation in basketball analytics and learning emerging tools.
• Strong familiarity with basketball concepts including performance metrics, player and team evaluation, and contextual differences in competition.
• Ability to distill sophisticated analyses into clear, actionable insights for diverse audiences such as coaches, executives, content creators, broadcasters, and non-technical stakeholders.
• Skilled in collaboration across multidisciplinary teams covering basketball operations, technology, and creative aspects.
• Exhibit a product-focused and process-oriented mindset, emphasizing intuitive, repeatable, and regularly utilized tool and workflow development.
• Comfortable working in a fast-paced sports setting, responsibly leveraging AI tools, and managing evolving or ambiguous needs with structure.
• Technical expertise including advanced SQL for structured data, proficiency in programming languages like Python or R, dashboard and data visualization development, applied statistical and predictive modeling, integration of diverse data sources, and effective communication through written, verbal, and visual formats.
• Preferred experience includes PostgreSQL or similar relational databases, web visualization frameworks like React or D3.js, familiarity with sports data platforms and multi-source performance data, basketball analytics focusing on talent evaluation, recruiting intelligence, player projection, competition analysis, and content or broadcast support through analytics.
• Knowledge of grassroots and high school basketball ecosystems including competition levels, events, recruiting pathways, and AI-assisted tools for coding and workflow automation is an asset.

Equal Employment Opportunity

Overtime Elite and its affiliate strictly enforce equal employment practices without regard to race, color, religion, sex (including pregnancy or related conditions), gender identity or expression, national origin, citizenship, age, disability, medical conditions, family or military status, sexual orientation, genetics, or any other protected category. The company forbids discrimination, harassment, or retaliation and provides reasonable accommodations for disabilities, pregnancy-related conditions, and religious practices. This policy applies comprehensively to all employment aspects including hiring, training, promotion, and workplace conduct.