Data Scientist

FanDuel•Jersey City, NJ

8h•Hybrid

About The Position

Our roster has an opening with your name on it. We are looking for a Data Scientist for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems. Throughout the lifecycle of a model, from data collection through results, you will create predictive models of sports to build tools and dashboards, price markets, and drive actionable insights across FanDuel Group. You will be working closely with the product and risk and trading teams, modeling player performance, team performance, and game outcomes among other challenges. You will promote effective communication of model outputs and contribute to a collaborative code environment. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

Requirements

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

Responsibilities

Develop, iterate, and take to production machine learning models to predict sports outcomes and solve problems
Iterate and improve on betting product range to ensure market leading offering
Continuous improvement in pricing techniques - both at an individual level and working with trading teams to optimize predictive and derivative model pricing
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