Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop complex machine learning models and backtesting frameworks to analyze real-time esports data. You will enhance model performance and implement them into production-grade pipelines.
Job Technologies
Your role in the team
- 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.
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Our expectations of you
Qualifications
- Deep, intuitive understanding of probability, statistics, and machine learning theory.
- Expert-level skills in the Python data stack. You write clean, production-grade code.
Experience
- 5+ years of professional experience in data science, quantitative research, or statistical modelling.
- Proven experience designing complex backtesting environments and defining custom evaluation metrics for unique business problems.
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What we offer
- Hybrid work
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Topics that you deal with on the job
Job Locations
This is your employer
GRID eSports GmbH
GRID eSports GmbH, based in Berlin, has been developing technologies for real-time eSports data since 2018. The company collaborates with major game developers such as Riot Games, Ubisoft, and Krafton, providing teams, betting companies, and media with comprehensive data solutions. GRID supports hybrid work models and has offices in Berlin and Wroclaw.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Data Scientist
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
