Senior Data Scientist (m/f/x)Verified as a real position
GRID eSports
Czechia2 weeks ago
- Posted
- Employment type
- Full-time
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Data ScienceSeniorPythonML a statistikaEsports výhodouRemote
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Who we’re looking for
- 5+ years of professional experience in data science, quantitative research, or statistical modelling
- Deep, intuitive understanding of probability, statistics, and machine learning theory
- Expert-level skills in the Python data stack. You write clean, production-grade code
- Proven experience designing complex backtesting environments and defining custom evaluation metrics for unique business problems
What you’ll do
- Design, build, and optimise the machine learning models and statistical frameworks that power our real-time odds and betting markets
- Extract deep predictive signals from raw, high-frequency esports telemetry, turning complex in-game mechanics into structured modelling features
- Focus on model performance and probability calibration. Design rigorous backtesting frameworks to prevent data leakage and evaluate performance against historical market baselines
- Create the mathematical rules and probabilistic derivations that translate baseline win probabilities into complex derivative markets (handicaps, totals, player props)
- Ensure your models are seamlessly translated into production-grade pipelines and microservices
About the position
Passionate about real-time ML and esports? Join GRID as a Senior Data Scientist! Lead research and design predictive models for CS2, Dota 2, and LoL live betting markets. Apply now!
