Sports Data Scientist (iGaming)

TL;DR

Sports Data Scientist (Python/iGaming): Developing predictive models for sports and esports events with an accent on forecasting game outcomes and betting odds. Focus on implementing machine learning algorithms, preprocessing large datasets, and integrating models into betting platforms.

Location: Remote (Global). Relocation support available to Latvia, Malta, Spain, and Montenegro.

Company

A fast-growing B2B provider of premium sportsbook solutions featuring world-class risk management and omni-channel support.

What you will do

• Develop predictive models for various sports and esports events.
• Collect, clean, and preprocess data from multiple sources.
• Implement algorithms to forecast game outcomes and betting odds.
• Analyze model performance and refine techniques to improve accuracy.
• Collaborate with cross-functional teams to integrate models into betting platforms.
• Present findings and insights to stakeholders through reports and visualizations.

Requirements

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or a related field.
• 3+ years of experience in data analysis and predictive modelling.
• Solid knowledge of Python.
• English: Intermediate (B1) level required.
• Knowledge of sports and esports ecosystems (great advantage).
• Experience with machine learning frameworks and statistical software.

Culture & Benefits

• Comprehensive Health Insurance and 100% paid sick leave.
• Generous PTO: 20 paid vacation days plus 6 additional days for family events.
• Relocation support to offices in Latvia, Malta, Spain, or Montenegro.
• Continuous learning opportunities and tailored language courses.
• Top-quality hardware equipment and a corporate welfare program.
• Vibrant international team culture with regular corporate events.

Hiring process

• 30-minute introductory call with a Recruiter.
• Possible technical test task.
• 60-minute in-depth call with the Data Science Team Leader.
• 30-minute final call with the People Partner.