Job description
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.
Responsibilities
Develop machine learning models for player performance analysis and optimisation
Analyse time series and event based sports data at scale
Engineer features from tracking, workload, and contextual datasets
Validate, monitor, and continuously improve models in production environments
Collaborate with sports analysts and domain experts to refine analytical use cases
Expose model outputs to analytical dashboards and downstream systems
Integrate model outputs into LangChain and LangGraph based reasoning workflows
Ensure model outputs are interpretable, reliable, and decision ready
Requirements
Strong hands on experience in Data Science and applied Machine Learning
Proficiency in Python and core libraries such as Pandas, NumPy, and scikit-learn
Experience with time series modelling and feature engineering
Solid SQL skills for analytical querying and data exploration
Experience working with large scale or high frequency datasets
Ability to translate domain questions into quantitative models
Experience working in cross functional product teams
Fluent English for professional collaboration
Nice to have
Experience in sports analytics or performance modelling
Exposure to tracking data or event based datasets
Familiarity with LangChain and LangGraph for analytical orchestration
Basic experience with GenAI driven insight generation or narrative creation
Benefits
Solid, competitive salary
Work in a multinational environment on international projects
Comprehensive healthcare
Long-term B2B contract with a stable project pipeline
Remote work model
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.