Data Scientist, Risk

📋 Description

• Develop, iterate, and take to production machine learning models to solve problems and drive
• Continuous improvement in pricing techniques - both at an individual level and working with trading
• Construct models, analyzes and solutions in response to a question or problem posed by a
• Manage the data preparation process from collection through cleaning
• Build robust predictive models, showing capabilities of feature and model selection
• Contribute to a production code environment

🎯 Requirements

• A minimum of 1 year of Industry Experience in data science, analytics or engineering preferred
• Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in
• 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 help create production level products and tools
• Comfortable with command line tools and GitHub

🎁 Benefits

• Array of health plans (some as low as $0 per paycheck) including fertility and family planning
• Generous paid time off (PTO & sick leave)
• Annual bonus and long-term incentive opportunities (based on performance)
• 401k with up to 5% match
• Commuter benefits
• Pet insurance