Data Scientist – Sports Analytics and Performance Intelligence

New
M
MadiffSports Analytics
United StatesFull-Time
Salary not disclosed
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Job Details

Languages
Fluent English
Required Skills
PythonSQLMachine LearningNumpyPandasscikit-learnLangChain

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

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
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