Senior Data Scientist

ABOUT FANDUEL

FanDuel Group (“FanDuel") is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media. 

FanDuel has a presence across all 50 states with approximately 17 million customers and 28 retail locations. FanDuel is based in New York with offices in New Jersey, Georgia, California, Oregon, Canada and Scotland.

Its networks FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through its relationships with leading direct-to-consumer over-the-top platforms.

FanDuel Group is a subsidiary of Flutter Entertainment plc, 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 ROSTER
At FanDuel, we give fans a new and innovative way to interact with their favorite games, sports and teams. We’re dedicated to building a winning team and we pride ourselves on being able to make every moment mean more, especially when it comes to your career. So, what does “winning” look like at FanDuel? It’s recognition for your hard-earned results, a culture that brings out your best work—and a roster full of talented coworkers. Make no mistake, we are here to win, but we believe in winning right. That means we’ll never compromise when it comes to looking out for our teammates. From creatives professionals to cutting edge technology innovators, FanDuel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves. At FanDuel, our principle of “We Are One Team” runs through all our offices across the globe, and you can expect to be a part of an exciting company with many opportunities to grow and be successful.

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Senior Data Scientist who specializes in customer behavior modeling to join our team. In this role you will develop and implement advanced models focused on enhancing user experiences and a deep understanding of customer behavior through the marketing, product, fraud, and analytics lens. This role requires a strong background in data science, machine learning, and a deep understanding of customer analytics. You will be part of a group of data scientists and engineers to continually evolve the various tools, models, and data visualizations to continue and keep our customers safe and enhance the customer journey.

THE GAME PLAN
Everyone on our team has a part to play

• Develop and implement advanced statistical and machine learning models to predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer
• Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide actionable insights into user preferences, customer segmentations, and anomalous/fraudulent activity
• Collaborate on a wide array of product and business problems across Marketing, Fraud and Payments, Responsible Gaming, Product, and Marketing.
• Develop experimentation frameworks, define evaluation metrics, determine the proper design and setup for experiments and conduct manual/ad-hoc analysis
• Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making
• Mentor, brainstorm with, and enable others within the DS team and broader Data organization
  
  
  

THE STATS
What we're looking for in our next teammate

• 5+ years of experience in Data Science creating and deploying models
• Extensive experience in data science, machine learning, and statistical modeling, with a proven track record of leading successful projects
• Deep understanding of the technical elements required to build customer-centric and risk models
• Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data and/or business analysis 
• Experience delivering model result to business users and have recommendation implemented 
• Proficiency in SQL and Python required 
• Experience with tech stacks such as MLFlow, Spark, Databricks, Sagemaker
• Can write production level code, understand principles of programming 
• Experience working in groups and being part of smaller intra year projects 
• Interest i