Risk Data Scientist - ML for Betting Pricing & Limits

SportsTechJobs; Jersey City (NJ); Hybrid; USD 116,000 - 145,000; Full time

Benefits offered by this job

Total Rewards

401k matching

Paid time off

14 paid holidays

Job summary

FanDuel Group is hiring a Data Scientist for the Risk Data Science team in Jersey City, with hybrid work options. You will develop predictive models, analyze pricing accuracy, and build dashboards to support betting limits, customer profiling, and risk decisions.

Strong Python/R, SQL, and Bayesian statistics are required, plus production-ready modeling and cross-team collaboration. The role offers a broad benefits package and paid time off, with a salary range of $116,000–$145,000 USD per year,

Qualifications

• Minimum 1 year of industry experience in data science/analytics.
• Bachelor's degree in a numerate field or relevant experience.
• Proficiency in Python or R and SQL.
• Understanding and application of Bayesian statistics.
• Experience building production-grade models and tools.
• Comfort with command line tools and GitHub.
• Strong written and verbal communication skills.
• Ability to work across teams and time zones.
• Interest in Sports Gaming or Fantasy Sports.

Responsibilities

• Develop, iterate, and productionize ML models for risk management.
• Create dashboards and visualizations for analysis and communication.
• Lead data preparation from collection through cleaning.
• Build robust predictive models with feature and model selection.
• Collaborate with product, risk, and trading teams to improve business outcomes.
• Contribute to a production code environment and cross-team initiatives.

Skills

Python

R

SQL

Bayesian stats

GitHub

CLI

OOP

Model deployment

Communication

Cross-team collaboration

Education

Bachelor's in a numerate field

Tools

GitHub

Job description

FanDuel Group is hiring a Data Scientist for the Risk Data Science team in Jersey City, with hybrid work options. You will develop predictive models, analyze pricing accuracy, and build dashboards to support betting limits, customer profiling, and risk decisions.

Strong Python/R, SQL, and Bayesian statistics are required, plus production-ready modeling and cross-team collaboration. The role offers a broad benefits package and paid time off, with a salary range of $116,000–$145,000 USD per year,