Skills this job asks for
Machine learningRisk managementPythonSQLStatisticsCommunicationMental health
Add your CV (free) to see which of these your CV is missing.
Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
-
✓
Employer is on a government sponsor recordUSCIS Data Hub records 1 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it.
-
?
The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
-
?
No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
-
✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- USCIS Data Hub records 1 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it. Source: US Department of Labor visa filings (LCA) (US Department of Labor (OFLC), plus USCIS H-1B Employer Data Hub).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
THE POSITION
Our roster has an opening with your name on it
We are looking for a Data Scientist for our Risk Data Science team to tackle our most challenging risk modeling problems. Throughout the lifecycle of a model, from data collection through results, you will create predictive models of around price accuracy and customer profiling to build tools and dashboards and drive actionable insights across FanDuel Group. You will be working closely with the product and risk and trading teams, working on problems like betting limits, customer behavior, and assessing pricing accuracy among other challenges. You will promote effective communication of model outputs and contribute to a collaborative code environment.
THE GAME PLAN
Everyone on our team has a part to play
• 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
THE STATS
What we’re looking for in our next teammate
• 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
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits.
Apply on employer site ↗