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Senior Data Scientist - Real-Time Esports Predictions (m/f/x)
GRID
Contract type
Ongoing
Work mode
100% remote
Experience
Senior · 5+ years
Job description
Key details
- Lead the research, design, and continuous improvement of core predictive models
- Design, build, and optimise machine learning models and statistical frameworks for real-time odds and betting markets
- Extract predictive signals from high-frequency esports telemetry and turn in-game mechanics into structured modelling features
- Focus on model performance and probability calibration, and design rigorous backtesting frameworks to prevent data leakage
- Create mathematical rules and probabilistic derivations that translate baseline win probabilities into derivative markets such as handicaps, totals, and player props
- Ensure models are translated into production-grade pipelines and microservices
- Company mission
- Information not specified
Primary stack
Core technologies
Python (Programming Language)
Benefits
- Information not specified
Requirements & details
- 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 and ability to write clean, production-grade code
- Proven experience designing complex backtesting environments and defining custom evaluation metrics
- deep knowledge of competitive esports (CS2, Dota 2, LoL), game mechanics, and the competitive meta
- experience modeling streaming data or data that updates continuously over time
- understanding of modern MLOps principles and experience with tools like MLFlow and Airflow
- Python, MLFlow, Airflow
- Quantitative Research
- Python (Programming Language)