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# Data Scientist, Risk

- **Company:** FanDuel Inc
- **Location:** Hoboken, NJ, United States
- **Salary:** $116,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Command-Line Interface, Data Visualization, Github, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Standard Sql, Production Code, Data Analytics, Software Coding
- **Published:** October 30, 2026
- **Apply:** https://www.dice.com/job-detail/3ec68caa-2a77-4fe0-b518-9caf09ffb0bb

## About the Role

* 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 data science preferred
 * 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
 * Object-oriented design and coding skills
 * Strong verbal and written communication skills
 * Ability to work across teams, locations and time zones
 * Interest or experience in Sports Gaming and/or Fantasy Sports

## Description

* Develop, iterate, and take to production machine learning models to solve problems and drive outcomes in Sportsbook risk management
 * Continuous improvement in pricing techniques - both at an individual level and working with trading teams to optimize betting limits and customer profiling
 * Construct models, analyzes and solutions in response to a question or problem posed by a stakeholder or colleague
 * 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
 * Work with decision-makers across the company to understand their goals, identify opportunities to use data to develop new insights and improve business results
 * Create dashboards and data visualizations for analysis and communication