20 beste Stellen als lead machine learning in berlin, be – aktuell auf Personalsuche

Senior Data Scientist (m/f/x)
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Zalando —Berlin
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Oliver Wyman - Data & Analytics Consulting - Intern (m/f/d) - Berlin
Oliver Wyman —Berlin
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Dunia Innovations GmbH —Berlin
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1Komma5° GmbH —Berlin
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Delivery Hero —Berlin
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Senior Pricing Analyst, AWS Monetization
Amazon Web Services Development Center Germany GmbH —Berlin
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4 Tage
Sr. Robotics Software Engineer, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
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lead machine learning jobs near berlin, be

Senior Data Scientist (m/f/x)

GRID eSports GmbH
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit
vor 9 Tagen

Qualifikationen

Forschungserfahrung
Microservices
Bachelor
Machine Learning
Mechanikkenntnisse
Python

Vollständige Stellenbeschreibung

Are you excited about building ML systems that make predictions in real-time?
Are you driven by building things end-to-end, from research to live systems?

If the answers to the above questions are yes, then this role could be ideal for you!

We are building real-time prediction systems for competitive esports (CS2, Dota 2, League of Legends). Our models power live betting markets, producing continuously updated win probabilities, handicap lines, over/under totals, and specialty markets during matches.

We are looking for a Senior Data Scientist to lead the research, design, and continuous improvement of our core predictive models. You will be the driving force behind the math, statistical logic, and feature engineering that make our models highly accurate and profitable. You will tackle complex problems in high-frequency data, design rigorous backtesting frameworks, and work on bridging theoretical research and live product features.

What you will 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

Your skills will include (must have)

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

Nice to have

Strong understanding of betting concepts, odds, overround, market-making, or quantitative trading. You understand what it means to build models where calibrated probabilities directly drive revenue
Experience modelling off streaming data or data that updates continuously over time
Deep knowledge of competitive esports (CS2, Dota 2, LoL), the underlying game mechanics, and the competitive meta
Understanding of modern MLOps principles and experience with tools like MLFlow, Airflow, etc.

Direkt bewerben

Erweiterte Suche

lead machine learning Jobs in berlin, be

Senior Data Scientist (m/f/x)

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Senior Pricing Analyst, AWS Monetization

Sr. Robotics Software Engineer, Amazon Robotics

Ich möchte aktuelle Job-E-Mails für Stellen als lead machine learning in berlin, be erhalten

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