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Data Scientist Senior

💼 Full-time🗓 2026-07-31

Core

Developing predictive models and trading strategies for sports trading markets.

Role type

Senior IC data scientist (sports trading)

Builds

Production models and trading strategies for sports markets

Domain

Sports betting and financial trading

Deliverable

production ML models

Required skills

probability theory, statistics, machine learning, predictive modeling, data analysis, model design, back-testing, optimization

Preferred skills

domain expertise in sports, creativity in model design

Technologies

polars, duckdb, dbt

Responsibilities

Designing predictive models for sports results predictions, Back-testing and optimizing models, Cooperating with the trading department

Seniority

Senior, hands-on IC

Rewrite
## About the role As a Senior Data Scientist at Ematiq, you will be responsible for developing models and trading strategies deployed in sports trading markets. To maximize the chances of developing models with a competitive edge, you will combine insights from the sports domain with your experience in predictive modeling and data analysis. We envision the ideal candidate as someone who can engage with domain experts to better understand the modeling problems at hand and leverage that information to deliver effective models. Our expectation is that candidates will be able to design models that are deployed in production and used for trading in the markets. You will be working in a deliberately flat organization where your opinion will be heard and considered from day one. To help you focus on modeling and developing trading strategies, you will be supported by data engineers who are part of the Quant team. They will assist you in accessing data conveniently, even when datasets reach terabytes in size. You will also receive guidance from software engineers when delivering models and trading strategies to production. ## Responsibilities - Designing predictive models for sports results predictions - Back-testing and optimizing models - Cooperating with our trading department - Working with a modern Data Science stack using libraries like polars, duckdb, dbt ## Requirements - Strong background in mathematics, preferably in probability theory, statistics, or machine learning - Proficiency in developing data-drive models - Creativity in designing models
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