AIstats is an innovative ecosystem of football products that combines cutting-edge big data analysis and computer vision technology.
We are a fast-growing team of 40+ people based in Poland. Recently, we secured investments from Google executives and leading mobile company founders, which helped us increase our company’s value fourfold in the past year.
Our goal is to deepen fans' understanding of soccer and create new opportunities for professionals to analyze matches.
AIstats Mobile App – a consumer platform for football fans and bettors with over 100K monthly active users.
AIstats Business Solutions – pro-level analytics tools powered by machine learning and computer vision, built for clubs, scouts, and agents.
AIstats is the place for those who want to transform the industry! We are building a long-term business to lead football analytics. Our goal is not just to create a product but to build an entire ecosystem. We value ambition, responsibility, and a results-driven mindset. At AIstats, there’s no micromanagement - only trust, autonomy, and freedom to experiment. We work top-down, focus on big goals, and seek people ready to make a real impact.
We are currently looking for a junior Data Scientist to join our growing team.
Generate new ideas that will subsequently be implemented.
Conduct research on large and small volumes of data.
Data analysis.
Searching for non-obvious insights and conducting experiments that allow for a better understanding of data and business processes.
Research and develop (but not deploy) mathematical and machine learning models for forecasting and analytics.
Collaborate with analysts, developers, and sports experts to create models that enhance prediction accuracy.
Test, validate, and improve ML models based on performance results.
Key Skills:
Proficiency in Python.
Experience with SQL.
Experience with tabular ML models.
Knowledge of probability theory and mathematical statistics.
Experience with deep learning.
Interest in football.
Love of writing tests.
Main stack:
NumPy, SciPy, Pandas, lightgbm, Catboost, Xgboost, Fastapi, Clearml, PyTorch, etc.
If you don't have all of these skills, don't worry. If you're a skilled researcher in Jupyter Notebook, we'd love to have you. If you're not particularly creative but can reliably write useful routines that, for example, automatically correct errors in raw data, we'd also love to have you.
Fully remote work format and flexible working hours.
Competitive salary pegged to USD.
24 days of paid vacation and 15 additional paid days off (including sick leave, personal days and corporate holidays)
A friendly communication culture, rapid product cycles, and transparent processes.
Dynamic work environment with a team passionate about sports and technology.
Opportunities for professional development and career growth.
No micromanagement — just trust, ownership, and freedom to experiment.
Mentorship and high-quality engineering feedback.
Employment Type
Work Format
