- Professional experience in the _gambling industry: deep understanding of market trends, standards and requirements.
- High-level analytical thinking: ability to find patterns in complex data sets, interpretation of large amounts of data to make strategic decisions.
- Database experience: excellent knowledge of SQL; experience with MongoDB is an advantage.
- Programming and data analysis: proficiency in Python/R and complex data analysis libraries (pandas, NumPy, SciPy).
- Statistics and mathematics: high level of knowledge and experience in applying statistical methods.
- Experience in conducting complex tests: development and analysis of A/B, A/B/n, A/A tests for product optimization.
- Machine learning: advanced knowledge of algorithms and experience in their implementation to improve the product.
Requirements
- Development of analytical models: models development and implementation to optimize business processes in the _gambling context.
- Strategic data analysis: in-depth data analysis to understand and predict trends in the _gambling industry.
- Cooperation with other departments: working closely with marketing and product departments to optimize strategies and campaigns.
RISK
RISK is a trailblazing company in the gaming and wagering industry, challenging the status quo and pioneering solutions in the digital entertainment and betting arena
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