Data Scientist, Risk
About The Position
FanDuel is seeking a Data Scientist to join its Risk Data Science team and address challenging risk-modeling problems. The role covers the model lifecycle, from data collection through results, and includes developing predictive models for pricing accuracy and customer profiling, building tools and dashboards, and delivering actionable insights across FanDuel Group. The Data Scientist will work closely with product, risk, and trading teams on betting limits, customer behavior, pricing accuracy, and related challenges. The role also involves communicating model outputs effectively and contributing to a collaborative production-code environment.
Requirements
- Strong analytical and quantitative skills.
- 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.
- Comfort 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.
Nice To Haves
- At least 1 year of industry experience in data science, analytics, or engineering.
- Bachelor's degree in a highly numerate major, such as mathematics, statistics, or economics, or relevant data science experience.
- Interest or experience in sports gaming and/or fantasy sports.
Responsibilities
- Develop, iterate, and deploy machine-learning models to address problems and improve outcomes in Sportsbook risk management.
- Continuously improve pricing techniques, individually and with trading teams, to optimize betting limits and customer profiling.
- Construct models, analyses, and solutions in response to questions or problems raised by stakeholders and colleagues.
- Manage data preparation from collection through cleaning.
- Build robust predictive models and demonstrate capabilities in feature and model selection.
- Contribute to a production code environment.
- Work with decision-makers across the company to understand goals, identify opportunities to use data, develop insights, and improve business results.
- Create dashboards and data visualizations for analysis and communication.
Benefits
- Health plans, including medical, vision, and dental insurance.
- Fertility and family-planning programs.
- Mental health support and fitness benefits.
- Paid time off and sick leave.
- Annual bonus and long-term incentive opportunities based on performance.
- 401(k) with up to a 5% match.
- Commuter benefits.
- Pet insurance.
- Life insurance and disability insurance.
- Paid personal time off and 14 paid company holidays.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
