GRID
Senior Data Scientist - Real-Time Esports Predictions (m/f/x)
Employer explicitly allows international or location-independent remote work.
Worldwide
Employer listed it 17h ago · Found 11h ago
First listed today.
Salary
Not stated
Location
Worldwide
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $145k–$210k a year, a typical range taken from 255 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from anywhere
The employer explicitly allows candidates to work from anywhere in the world, with no stated country restriction.
What the employer says
- Source listing states candidate location: "Worldwide"
What Nomaders makes of it
- Listing location explicitly says anywhere/worldwide, with no country requirement
- Check timezone expectations before applying
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
(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.
This is an extract of the advert. Read it in full on Himalayas.
Requirements
- ·What you will do
- ·Lead Model R&D: Design, build, and optimise the machine learning models and statistical frameworks that power our real-time odds and betting markets.
- ·Advanced Feature Engineering: Extract deep predictive signals from raw, high-frequency esports telemetry, turning complex in-game mechanics into structured modelling features.
- ·Build state-of-the-art models: Focus on model performance and probability calibration. Design rigorous backtesting frameworks to prevent data leakage and evaluate performance against historical market baselines.
- ·Develop Market Logic: Create the mathematical rules and probabilistic derivations that translate baseline win probabilities into complex derivative markets (handicaps, totals, player props).
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from anywhere, matches where you plan to live and work.
- 2Tailor your CV to the role at GRID, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 12h ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Himalayas.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $145k to $210k per year · You'll be taken to the employer's careers page.