Data Scientist, Risk

What you'll do

• Develop, iterate, and deploy machine learning models to solve sports betting risk management problems.
• Optimize pricing techniques and betting limits through customer profiling and data analysis.
• Manage the full data lifecycle including collection, cleaning, and preparation.
• Build robust predictive models using advanced feature and model selection techniques.
• Create dashboards and data visualizations to communicate model outputs and actionable insights.
• Contribute to a production-level code environment using object-oriented design.
• Construct specific models and solutions to address problems posed by internal stakeholders.

What we're looking for

• Strong analytical and quantitative skills with high proficiency in Python or R and SQL.
• Understanding and application of Bayesian statistics.
• Experience building and using models to create production-level products and tools.
• Object-oriented design and coding skills.
• Comfortable with command line tools and GitHub.
• Strong verbal and written communication skills.
• Ability to work across teams, locations, and time zones.
• A minimum of 1 year of industry experience in data science, analytics, or engineering (preferred).
• Bachelor's degree in a highly numerate major or relevant experience in data science (preferred).
• Interest or experience in Sports Gaming and/or Fantasy Sports (preferred).