Data Scientist – Sports Analytics and Performance Intelligence (NBA)

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