Soccer Data Scientist: Predictive Analytics for Team

Sporting Kansas City

Palestine (TX)

On-site

USD 110,000 - 160,000

Full time

6 days ago
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Job summary

Sporting Kansas City is seeking a Data Scientist to lead the design, development and validation of advanced models, aimed at improving decision-making and supporting an evidence-informed predictive framework.

You will work closely with coaches, scouts and analysts to translate data into actionable insights, developing interpretable models across medical, sports sciences, scouting and performance analysis, contributing to a sustainable competitive advantage.

Qualifications

  • Bachelor's degree in computer science, data science or related STEM subject.
  • Experience in Data Science, ML or Applied Statistics.
  • Proven experience designing, validating and monitoring applied machine learning models.
  • Robust experience using both SQL and Python for data analysis, modelling and automation.
  • Strong understanding of statistical modelling, experimental design and model evaluation.
  • Creative and curious problem solver with a positive attitude to new challenges.
  • Proactive and keen to learn, able to pick up new skills and work as part of a team.
  • Excellent attention to detail and evidence of working on developing strong analytical skills.
  • Evidence of excellent communication skills, able to translate technical concepts into practical solutions.

Responsibilities

  • Lead the design, development and validation of advanced models aimed at improving decision-making and supporting an evidence-informed predictive framework.
  • Work closely with coaches, scouts, analysts and other stakeholders, translating complex data into key insights.
  • Develop interpretable and context-relevant models across medical, sports sciences, scouting, squad planning and performance analysis.
  • Collaborate with the First Team Data Engineer and First Team Data Analyst to productionize models and ensure reliable data workflows.
  • Support forecasting and scenario-analysis tools for squad and salary cap planning.
  • Continuously challenge data, systems and practices to drive innovation.

Skills

SQL
Python
Statistical Modelling
Experiment Design
Communication

Education

Bachelor's degree in computer science, data science or related STEM

Tools

Tableau

Job description

Sporting Kansas City is seeking a Data Scientist to lead the design, development and validation of advanced models, aimed at improving decision-making and supporting an evidence-informed predictive framework.

You will work closely with coaches, scouts and analysts to translate data into actionable insights, developing interpretable models across medical, sports sciences, scouting and performance analysis, contributing to a sustainable competitive advantage.

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