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. 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. What You'll Do League Intelligence Systems & Dashboards Design and maintain interactive data platform that translates league, team, and player data into actionable insights for coaches, teams, league staff, and leadershipDevelop intuitive visualization tools that simplify complex performance, evaluation, and competition data for non-technical usersOwn defined components of scalable analytics products that support league-wide decision-making, talent evaluation, and team performance analysisEnsure analytics products are accessible, reliable, and operationally useful across the league ecosystem Data Integration & League Infrastructure Develop and maintain reliable processes for integrating data from multiple league systems into a unified analytics environmentMaintain clean, structured datasets that support reporting, evaluation, modeling, and analysisPartner with League Operations to ensure accurate and consistent data flow across statistical, game, performance, and operational systemsImprove data reliability and reduce manual intervention across recurring analytical workflows Talent Evaluation, Predictive Modeling & Competitive Insights Build, test, and refine statistical and predictive models that support player evaluation, talent identification, team analysis, and competitive forecastingDevelop frameworks that help OTE identify high-potential talent and project players across roles, competition levels, and future environmentsAnalyze team quality, roster strength, performance trajectories, and competitive context to inform recruiting, league participation, and growth decisionsImprove how OTE compares players and teams across leagues, circuits, schedules, roles, and levels of competition Build benchmarks that support player and team evaluation while clearly communicating projected outcomes and the factors influencing them Performance & Development Analytics - Team Enablement Create visual frameworks and reporting that help teams understand performance trends, development opportunities, and results relative to league standardsTranslate statistical and observational data into actionable insights for coaching and operations staffBuild position-, role-, and competition-based benchmarks that support player evaluation, roster planning, recruiting, and team-level decision- making Analytics Storytelling, Reporting & Insight Delivery Generate recurring performance and league intelligence reports for leadership, operations, teams, content, and broadcast partnersIdentify trends, milestones, comparisons, and performance narratives that explain the success and development of OTE players and teamsPartner with content and broadcast teams to provide analytical context that strengthens coverage, storytelling, and audience understandingDevelop insights that help fans understand player impact, team identity, competitive context, and the broader stories shaping the leagueEnsure analytical findings are clearly communicated and usable across both internal decision-making and external storytelling Systems Improvement & Automation Develop and improve automated workflows for data processing, reporting, modeling, and performance trackingUse AI-assisted tools for coding, analysis, documentation, and recurring operational workflows while validating outputs for accuracy and reliabilityCreate lightweight, repeatable processes that improve consistency, handoffs, scalability, and the usability of league analytics systems Who You Are You have 2–5 years of relevant experience in data science, analytics, sports performance modeling, or a related fieldYou are a curious, self-directed problem-solver who is motivated by innovation in basketball and willing to learn new tools and approaches You have a strong understanding of basketball concepts, performance metrics, player and team evaluation, and differences in competitive contextYou can translate complex analysis into clear, actionable, and compelling insights for coaches, leadership, content, broadcast, and other non-technical audiencesYou are highly collaborative and comfortable working across basketball, operations, technical, and creative teamsYou bring a strong product and process mindset, with a focus on creating tools and workflows that are intuitive, repeatable, and consistently usedYou are comfortable operating in a fast-paced sports environment, using AI-assisted tools responsibly, and bringing structure to evolving or ambiguous needs Core Technical Qualifications Strong SQL skills and experience working with structured datasetsProgramming proficiency in Python, R, or a similar analytical languageExperience building dashboards, reports, or data visualization toolsExperience applying statistical or predictive methods to real-world problemsExperience integrating multiple data sources and creating reliable, repeatable analytical workflowsAbility to communicate findings clearly through written, visual, and verbal formats Preferred Experience PostgreSQL or comparable relational database experienceReact, D3.js, or other web-based dashboard and visualization frameworksSports data platforms and multi-source performance dataBasketball analytics, talent evaluation, recruiting intelligence, player projection, or competitive analysisFamiliarity with the high school and grassroots basketball ecosystem, including competition levels, circuits, events, and recruiting pathwaysSupporting content, broadcast, editorial, or fan-facing storytelling through data and analyticsAI-assisted coding, analysis, documentation, or workflow tools Equal Opportunity Employer Overtime and Overtime Elite are an equal opportunity employer. The Company provides equal employment opportunities for all applicants and team members. It will not tolerate any discrimination on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, hair texture and protected styles, height, weight, genetic information, or any other basis protected by local, state, or federal laws. Overtime and Overtime Elite strictly prohibit any such discrimination or harassment. Overtime and Overtime Elite will also make reasonable accommodations for (a) disabled team members; (b) pregnant team members who request an accommodation for pregnancy, childbirth, or related medical conditions; and (c) religious observances and practices. This policy applies to all areas of employment including recruitment, hiring, training, promotion, compensation, benefits, transfer, disciplinary action, and social and recreational programs. The Company prohibits managers, team members, and third parties that a team member comes into contact with from engaging in conduct that is prohibited by law (including, but not limited to, all forms of discrimination, harassment, and retaliation specified in this policy). It is the responsibility of every manager and team member to follow this policy. Any team member having any questions regarding this policy should discuss them with the People Team.