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Full-time

Sports Data Scientist – Football Analytics (m/f/d)

Munich/ Remote

Turn tracking and event data into football insights that coaches, analysts, and our AI products can act on.

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The Job Specification

Your Role in the Squad

You turn raw tracking and event data into football understanding. Youdesign metrics, build models that capture what happens on the pitch, andwork with engineers to ship your findings into our products.
Metric Design & Validation+
Statistical Modeling & Machine Learning+

You build and validate models on tracking and event data — from expected-threat style metrics to physical and tactical performance indicators — and prove they hold up match after match.

Exploratory Match & Season Analysis+
Collaboration with Engineering & Product+
Communicating Insights to Football People+
  • Statistical Modeling
  • Python/ SQL
  • Machine Learning
  • Football Knowledge
  • Data Visualization
  • Experiment Design
  • Teamplay
Your Profile

Our Requirements

We are looking for a data scientist who combines statistical rigor with a real feel for the game. Here is a breakdown of the core qualifications required for this position:

Must Haves

  • 3+ years of professional experience in data science or quantitative analysis, with projects you can walk us through end to end.
  • Python/ SQL: Strong skills in the Python data stack (pandas, NumPy, scikit-learn) and confident SQL on large datasets.
  • Modeling: Solid grounding in statistics and machine learning, from regression and classification to careful model validation.
  • Data: Experience with spatio-temporal or event-based data; football tracking and event data is a big plus.

Nice to Haves

  • You have published analyses, blog posts, or open-source work in sports analytics or a comparable data field.
  • You have excellent communication skills in English and can explain a model to a coach as well as to an engineer.
  • Bonus Point: A genuine, intrinsic interest in football tactics, scouting, or the analytics community around the game.
Perfect Setup

Your UpgradesOn and Off the Pitch

Discover your benefits from working at GAMECODE.Ai.

  • Modern Working

    Flexibility & Work-Life Balance

  • Pick Your Own Tools

    State-of-the-Art Tech Stack

  • We Invest in Your Future

    Personal Development & Growth

  • Culture & Community

    Team and Company Culture

Final Warm-Up

Your Scouting Report

Fill out the fields below, answer our two-question "warm-up" so we know you are ready for the pitch, and secure your spot in our selection process.

Let's change the future of sports intelligence together.

1. General Information
2. Baseline-Check

A quick sanity check for our data squad:A striker converts a higher share of shots than last season. What do you check before calling it real improvement?

3. Game Passion
The Timeline for

The Selection Process

Fast, transparent, and respectful of your time.From your initial transfer request to the final whistle,our entire process typically takes 2 to 3 weeks.

  1. 01

    ApplicationReview

    We review your profile, CV, GitHub, and LinkedIn to understand your technical strengths. If your skills match our requirements, we invite you to the first round.

  2. 02

    IntroductoryCall

  3. 03

    TechnicalDeep Dive

  4. 04

    FinalConversation

Is this opening notthe right fit yet?

If this specific role does not match your profile, do not worry. We are constantly expanding our squad and looking for exceptional talent across all departments. Take a look at our other vacancies or send us a spontaneous application.

GAMECODE.Ai key visual (final_cta)