Senior Data Scientist - Real-Time Esports Predictions (m/f/x)

Role overview Drive the research, design, and continuous improvement of real-time machine learning systems that generate live predictions for competitive esports matches. As a senior individual contributor, you will shape the mathematical foundations, feature engineering, and evaluation frameworks powering win probabilities, handicap lines, totals, and specialty markets across popular titles such as CS2, Dota 2, and League of Legends.

Responsibilities - Lead the research and development of ML models and statistical frameworks that generate real-time odds and betting markets. - Engineer features from high-frequency in-game telemetry, translating complex mechanics into structured predictive signals. - Design and maintain backtesting frameworks that prevent leakage and benchmark against historical market baselines. - Develop the probabilistic logic that converts baseline win probabilities into derived markets such as handicaps, totals, and player props. - Collaborate with engineering to translate models into production-grade real-time pipelines and microservices.

Requirements - 5+ years of professional experience in data science, quantitative research, or statistical modeling. - Deep, intuitive grasp of probability, statistics, and machine learning theory. - Expert-level Python skills with the modern Python data stack and clean, production-grade coding practices. - Proven experience designing complex backtesting environments and custom evaluation metrics. - Strong communication skills for bridging research outputs with live product features.

Nice to have - Deep domain expertise in competitive esports, including game mechanics and evolving metas. - Hands-on experience modeling streaming or continuously updating data. - Familiarity with modern MLOps tooling such as MLflow and Airflow.

Benefits and work setup - 100% remote position open to candidates based anywhere in Europe.