Write clean, reproducible code in Python or R for analysis, modeling, reporting, and internal workflowsBuild internal tools, dashboards, visualizations, and workflows when needed to move projects forward quicklyPartner with the Engineering team to productionalize high-value model outputs, tools, and data productsDocument methods, assumptions, limitations, and outputs clearly so work can be reused, reviewed, and extended by the broader analytics team. Develop and refine models that help the organization evaluate players, teams, lineups, tactics, and strategic basketball questionsCreate tools that make model outputs easier to interpret, compare, and apply in basketball contextsImprove the way uncertainty, sample size, role, context, and fit are incorporated into analysis.