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Data Scientist – Sports Analytics and Performance Intelligence (NBA)
JOB SUMMARY
Job details
This is a remote position.
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.
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. ResponsibilitiesDevelop machine learning models for player performance analysis and optimisationAnalyse time series and event based sports data at scaleEngineer features from tracking, workload, and contextual datasetsValidate, monitor, and continuously improve models in production environmentsCollaborate with sports analysts and domain experts to refine analytical use casesExpose model outputs to analytical dashboards and downstream systemsIntegrate model outputs into LangChain and LangGraph based reasoning workflowsEnsure model outputs are interpretable, reliable, and decision ready
Requirements
Strong hands on experience in Data Science and applied Machine LearningProficiency in Python and core libraries such as Pandas, NumPy, and scikit-learnExperience with time series modelling and feature engineeringSolid SQL skills for analytical querying and data explorationExperience working with large scale or high frequency datasetsAbility to translate domain questions into quantitative modelsExperience working in cross functional product teamsFluent English for professional collaborationNice to haveExperience in sports analytics or performance modellingExposure to tracking data or event based datasetsFamiliarity with LangChain and LangGraph for analytical orchestrationBasic experience with GenAI driven insight generation or narrative creation
Benefits
Solid, competitive salaryWork in a multinational environment on international projectsComprehensive healthcareLong-term B2B contract with a stable project pipelineRemote work model.
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.
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. ResponsibilitiesDevelop machine learning models for player performance analysis and optimisationAnalyse time series and event based sports data at scaleEngineer features from tracking, workload, and contextual datasetsValidate, monitor, and continuously improve models in production environmentsCollaborate with sports analysts and domain experts to refine analytical use casesExpose model outputs to analytical dashboards and downstream systemsIntegrate model outputs into LangChain and LangGraph based reasoning workflowsEnsure model outputs are interpretable, reliable, and decision ready
Requirements
Strong hands on experience in Data Science and applied Machine LearningProficiency in Python and core libraries such as Pandas, NumPy, and scikit-learnExperience with time series modelling and feature engineeringSolid SQL skills for analytical querying and data explorationExperience working with large scale or high frequency datasetsAbility to translate domain questions into quantitative modelsExperience working in cross functional product teamsFluent English for professional collaborationNice to haveExperience in sports analytics or performance modellingExposure to tracking data or event based datasetsFamiliarity with LangChain and LangGraph for analytical orchestrationBasic experience with GenAI driven insight generation or narrative creation
Benefits
Solid, competitive salaryWork in a multinational environment on international projectsComprehensive healthcareLong-term B2B contract with a stable project pipelineRemote work model.
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Madiff United States
