Data Scientist II (Soccer)

🏢 Teamworks · 📍 United States · 💼 remote · ⏰ FullTime
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Position Summary & Responsibilities

We're hiring a Data Scientist II on our Soccer team to develop the statistical and machine learning models our partner clubs use for player recruitment. I'm Jacob Mortensen, Senior Manager, Data Science at Teamworks. Our team primarily focuses on building models using both player tracking data and event data to identify undervalued players and characterize the skills that make them effective. The work supports high-stakes recruitment decisions for professional clubs across global football.

The team is managing growing demand from partner clubs alongside model maintenance and new development. This hire will take ownership across the model lifecycle, from design and validation through deployment and improvement. That added capacity will help us move important initiatives forward while keeping our existing models accurate and reliable.

The Role

  • 3+ years of professional or research experience developing statistical or machine learning models in Python or R, with examples of work you personally owned from problem formulation and data preparation through validation and use

  • Strong applied statistical and modeling judgment: you can select appropriate methods, explain their assumptions and trade-offs, and distinguish meaningful predictive signal from artifacts in the data

  • Experience designing rigorous model evaluations, including preventing data leakage, choosing validation strategies appropriate to temporal or grouped data, quantifying uncertainty, and assessing performance across relevant player populations and contexts

  • Experience building models with sports tracking data, including working with spatial and temporal relationships, noisy or incomplete observations, and the data-quality challenges that affect model reliability

  • Ability to write maintainable, tested, and reproducible analytical code, using version control and code review to support collaborative development

  • Proficiency in SQL to join, transform, and validate large, structured datasets used in model development

  • Experience taking models beyond exploratory notebooks into repeatable workflows or production systems, collaborating with engine

🎯 Candidate Preparation Guide For Teamworks Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluating domain credibility within elite sports or high-performance organizations, data security, and stakeholder management across ego-driven environments.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Treating elite sports purely as a novelty rather than a rigorous, demanding enterprise vertical.
  • 2. Inability to navigate complex stakeholder dynamics involving coaches, athletes, and executives.
  • 3. Building complex tech that fails to work seamlessly on mobile devices in high-pressure environments.
✨ Recommended Role Alignment Hook:

I build mission-critical operational platforms that elite sports organizations rely on to gain a competitive edge every single day.

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