Madiff · 19 hours ago
Data Scientist – Sports Analytics and Performance Intelligence (NBA)
United States
Full-time
Remote
Mid LevelMadiff is a company focused on sports analytics and performance intelligence, particularly for professional basketball organizations including NBA teams. They are seeking a Data Scientist to build machine learning models that convert large-scale performance data into actionable insights for various stakeholders in the sports domain.
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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
Qualification
Required
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
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
Comprehensive healthcare
Long-term B2B contract with a stable project pipeline
Remote work model
Company
Madiff
Madiff offers cybersecurity, software development, testing, machine learning, and AI services.
Founded in 2015
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase