Data Scientist, Risk
About The Position
FanDuel Group is hiring a Data Scientist for its Risk Data Science team to address challenging risk modeling problems. The role involves developing predictive models for price accuracy and customer profiling throughout the model lifecycle, from data collection through results, and creating tools and dashboards that deliver actionable insights across the company. The Data Scientist will collaborate closely with product, risk, and trading teams on betting limits, customer behavior, pricing accuracy, and related challenges. The position also contributes to effective communication of model outputs and a collaborative production code environment.
Requirements
- A minimum of 1 year of industry experience in data science, analytics, or engineering is preferred.
- A bachelor's degree in a highly numerate major such as mathematics, statistics, or economics, or relevant data science experience, is preferred.
- 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
- Interest or experience in sports gaming and/or fantasy sports.
Responsibilities
- Develop, iterate, and deploy machine learning models for 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 stakeholder or colleague questions and problems.
- Manage data preparation from collection through cleaning.
- Build robust predictive models, including feature and model selection.
- Contribute to a production code environment.
- Work with decision-makers across the company to understand goals, identify opportunities for data-driven insights, and improve business results.
- Create dashboards and data visualizations for analysis and communication.
Benefits
- Health plans, including programs for fertility and family planning, 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.
- Medical, vision, and dental insurance.
- Life insurance.
- Disability insurance.
- Paid personal time off.
- 14 paid company holidays.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
