Data Scientist – Sports Analytics and Performance Intelligence (NBA) at Madiff

Worldwide

<span id="spandesc"> <p> This is a remote position. </p> <p> <span lang="EN-US"> <span> <span> We are looking for a Data Scientist to join a next generation sports analytics and performance intelligence platform supporting professional basketball organisations, including NBA teams. The role focuses on building machine learning models that transform large scale performance, tracking, and contextual data into actionable insights for coaching staff, analysts, medical teams, and front office stakeholders. </span> </span> <b> <span> </span> </b> <span> <span> The platform combines structured and real time sports data with machine learning and GenAI orchestration layers to support player evaluation, game strategy, workload optimisation, and injury risk management. It is already used in live analytical workflows and continues to evolve with deeper data integration and advanced reasoning components. </span> <span> </span> </span> </span> <span> <span> </span> </span> <b> <span> <span> Responsibilities </span> </span> </b> <span> <span> </span> </span> </p> <ul> <li> <span> <span lang="EN-US"> <span> <span> Develop machine learning models for player performance analysis and optimisation </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Analyse time series and event based sports data at scale </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Engineer features from tracking, workload, and contextual datasets </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Validate, monitor, and continuously improve models in production environments </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Collaborate with sports analysts and domain experts to refine analytical use cases </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Expose model outputs to analytical dashboards and downstream systems </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Integrate model outputs into LangChain and LangGraph based reasoning workflows </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span lang="EN-US"> <span> <span> Ensure model outputs are interpretable, reliable, and decision ready </span> </span> </span> </li> </ul> </span> <span id="spanreq"> <h3> Requirements </h3> <ul> <li> <span> <span lang="EN-US"> <span> <span> Strong hands on experience in Data Science and applied Machine Learning </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Proficiency in Python and core libraries such as Pandas, NumPy, and scikit-learn </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Experience with time series modelling and feature engineering </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Solid SQL skills for analytical querying and data exploration </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Experience working with large scale or high frequency datasets </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Ability to translate domain questions into quantitative models </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Experience working in cross functional product teams </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Fluent English for professional collaboration </span> </span> </span> <span> <span> </span> </span> </span> </li> </ul> <span> <span> <b> Nice to have </b> </span> <span> </span> </span> <ul> <li> <span> <span> <span> <span> Experience in sports analytics or performance modelling </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span> <span> <span> Exposure to tracking data or event based datasets </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span> <span> <span> Familiarity with LangChain and LangGraph for analytical orchestration </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span> <span> Basic experience with GenAI driven insight generation or narrative creation </span> </span> </span> </li> </ul> </span> <span id="spanben"> <h3> Benefits </h3> <ul> <li> <span> <span lang="EN-US"> <span> <span> Solid, competitive salary </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Work in a multinational environment on international projects </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Comprehensive healthcare </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span> <span lang="EN-US"> <span> <span> Long-term B2B contract with a stable project pipeline </span> </span> </span> <span> <span> </span> </span> </span> </li> <li> <span lang="EN-US"> <span> <span> Remote work model </span> </span> </span> </li> </ul> </span>