BetInvest Ltd. is an international gaming solutions provider with 20 years of industry experience, which incorporated in the United Kingdom and currently serves clients across four continents – Europe, Asia, Africa and North America. Our product line includes Sportsbook, Data Feed, Slots, Virtual Gaming, eSports, Lottery and a CRM system. We also provide our clients with a universal online gaming platform and both retail and mobile solutions to facilitate maximum market penetration.
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Data Scientist
Full Remote · Worldwide · Product · 1 year of experience · B1 - IntermediateBetinvest is an international product company in the sports technology sector. For over 20 years, we have been creating innovative solutions for the iGaming industry, with a focus on esports, fast sports, and AI-driven products. Currently, we’re expanding...Betinvest is an international product company in the sports technology sector. For over 20 years, we have been creating innovative solutions for the iGaming industry, with a focus on esports, fast sports, and AI-driven products.
Currently, we’re expanding our analytics team and are looking for a Data Scientist / ML Engineer to help us develop, improve, and fine-tune mathematical models for our products.
Key Responsibilities
- Develop and optimize mathematical and machine learning models for forecasting and analytics.
- Prepare, process, and analyze large datasets.
- Collaborate with analysts, developers, and sports experts to create models that enhance prediction accuracy.
Test, validate, and improve ML models based on performance results.
What We Expect
- Proficiency in Python.
- Experience with pandas and scikit-learn libraries.
- Understanding of core machine learning concepts, including:
- Ensemble algorithms (Random Forest, Gradient Boosting, XGBoost, CatBoost);
- Regularization methods (L1, L2, Dropout);
- Stratification and cross-validation.
- Experience with TensorFlow and TensorFlow Probability (including fully connected (MLP) architectures).
- Understanding of common training challenges — vanishing/exploding gradients, overfitting.
- Solid knowledge of linear algebra, discrete mathematics, and statistics.
English — Intermediate (B1+) level or higher.
We Offer:
- 30 paid days off per year
- Medical insurance or a gym membership
- Free corporate English courses
- Flexible work schedule, full-time position without excessive bureaucracy, micromanagement, or time tracking
- A great team of creative and inspiring professionals