Senior Data Scientist – Real-Time Esports Predictions

🔥 4 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GRID esports

WebsiteLinkedInAll Job Openings

51 - 200 employees

🎮 Gaming

☁️ SaaS

💰 $10M Series A on 2021-04

Gaming • SaaS • Data Analytics

GRID esports is a data platform company that focuses on providing comprehensive data solutions for the esports industry. The company offers services to game developers, esports betting and fantasy platforms, media, and tournament organizers by connecting them with professional teams and fans through official in-game data. GRID's technology tracks every aspect of a game at the server level, offering secure and accurate data feeds, streaming, and visualizations. With partnerships with over 70 game publishers and 350 data consumers, GRID serves as a crucial hub for managing and distributing data, empowering the esports ecosystem.

📋 Description

• Lead research, design, and continuous improvement of core predictive models • Design, build, and optimise machine learning models and statistical frameworks powering real-time odds and betting markets • Extract predictive signals from raw, high-frequency esports telemetry • Convert complex in-game mechanics into structured modelling features • Optimise model performance and probability calibration • Design rigorous backtesting frameworks to prevent data leakage • Evaluate performance against historical market baselines • Create mathematical rules and probabilistic derivations for handicaps, totals, player props, and other derivative markets • Translate models into production-grade pipelines and microservices • Bridge theoretical research and live product features

🎯 Requirements

• 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 • Ability to write clean, production-grade code • Proven experience designing complex backtesting environments • Experience defining custom evaluation metrics for unique business problems • Nice to have: deep knowledge of competitive esports, including CS2, Dota 2, and LoL • Nice to have: experience modeling streaming or continuously updating data • Nice to have: understanding of modern MLOps principles • Nice to have: experience with MLFlow, Airflow, and similar tools

🏖️ Benefits

• Flexible working conditions • Mental health support • Company and team-wide events • Work travel opportunities with travel insurance • Training and development budget • High-quality Swag/ Merch • 28+ days vacation allowance per year • Professional counselors for mental health support, covered by the business • Self-development budget • Career advancement opportunities • Support from teammates for professional growth • Remote work environment • Access to Berlin and Wroclaw offices • Travel opportunities