Data Scientist

• Build and run the experimentation framework across departments
• Set standards for how tests are designed, run, and interpreted
• Build models for player value, churn, bonusing, and segmentation
• Deploy models to production with data engineers
• Measure impact through A/B tests and careful analysis
• Collaborate with data engineering, CRM, product, and commercial teams
• Turn complex analysis into clear, actionable recommendations
• Support the business with ad-hoc analysis
• Monitor production models, perform drift checks, and retrain models
• Build LLM-powered features, agents, and AI-assisted analysis tools
• Identify opportunities for data science to add value

Explore Data Scientist at Bet On Talent. Review requirements and application details.