Data Scientist, Risk

Fan Duel Group is the premier mobile gaming company in the United States and Canada. Fan Duel Group consists of a portfolio of leading brands across mobile wagering including:
America’s #1 Sports book, Fan Duel Sports book; its leading iGaming platform, Fan Duel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, Fan Duel Racing; and its daily fantasy sports product.  In addition, Fan Duel Group operates Fan Duel TV, its broadly distributed linear cable television network and Fan Duel TV+, its leading direct-to-consumer OTT platform. Fan Duel 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.

Fan Duel 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 POSITIONO

ur roster has an opening with your name on itWe 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 Fan Duel 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 Sports book 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 communicationTHE STATSWhat we’re looking for in our next teammateA 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 Git Hub 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 SportsPLAYER 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. We offer generous paid…