Data Scientist - Sports Analytics and Performance Intelligence (NBA)
Actively Hiring
Full-time Posted 6 months ago
Responsibilities
- check_circle Develop machine learning models for player performance analysis and optimisation
- check_circle Analyse time series and event based sports data at scale
- check_circle Engineer features from tracking, workload, and contextual datasets
- check_circle Validate, monitor, and continuously improve models in production environments
- check_circle Collaborate with sports analysts and domain experts to refine analytical use cases
- check_circle Expose model outputs to analytical dashboards and downstream systems
- check_circle Integrate model outputs into LangChain and LangGraph based reasoning workflows
- check_circle Ensure model outputs are interpretable, reliable, and decision ready
Basic qualifications
- 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
Preferred qualifications
- 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
- check_circle Solid, competitive salary
- check_circle Work in a multinational environment on international projects
- check_circle Comprehensive healthcare
- check_circle Long-term B2B contract with a stable project pipeline
- check_circle Remote work model
Tags & Focus Areas
Fulltime Remote Machine Learning Data Science Ai