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

GRID esports

Role overview

Qualifications

  • Experience with machine learning and predictive modeling
  • Strong statistical and mathematical skills
  • Background in esports or gaming analytics
  • Familiarity with high-frequency data processing

Responsibilities

  • Lead the research and design of core predictive models
  • Continuous improvement of model accuracy and profitability
  • Design and implement rigorous backtesting frameworks
  • Bridge theoretical research with live product features

Key facts

Hard skills

Other skills

  • Problem Solving
  • Research
  • Collaboration

About the company

GRID esports logo

GRID esports

Esports & Competitive Gaming

At GRID we're engaged to build and mature game data ecosystem on the GRID Data Platform. Whether it's recording the first hit on a Roshan, the player location on the pursuit of a bomb plant, or something more familiar like fixture data, our approach is always the same. Disciplined towards a game-agnostic data design, we aim to accelerate the consumption and distribution for our partners and to our consumers respectively. GRID places itself at the centre of the data ecosystem within competitive gaming , bringing value en masse to Publishers, Tournaments, Teams, Creators, and Fans. Our core business works with server data, which is rich, granular, and fast. This is our future, and we're extremely motivated in our pursuit to realize it. Our culture is our most prized asset across the business, and if you're driven by your own initiative to succeed you'll fit well within the GRID team.

Company details

Company typeScaleup
IndustryEsports & Competitive Gaming
Company size51-200

Links

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Job description

(100% remote, anywhere in Europe)

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?

At GRID, 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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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