This role pays less than
53%
of similar roles. Most pay
$145,200–$220,100
— the shaded band above.
At the midpoint, this role pays about
$168k
versus about
$183k
for comparable roles.
Based on 240 similar postings.
Employer
About FanDuel
FanDuel is a leading online sports betting and daily fantasy sports platform operating across the United States, offering sportsbook wagering, casino games, and horse racing to millions of customers.
FanDuel currently has
42 open roles
on FindRole.
Listed pay typically runs
$138,000–$188,000
across 42 roles with salary data.
The Data Science Manager joins the Sports Modeling & Innovation team to tackle complex sports modeling challenges throughout the entire lifecycle, from data collection to results. This role involves building predictive models of player performance, team outcomes, and game results to create tools, dashboards, and pricing for markets. The manager will oversee a team of data scientists, ensuring they develop production-ready models while fostering a collaborative code environment. Key responsibilities include managing the data preparation process, improving pricing techniques, and presenting findings to senior leadership. Candidates should possess strong analytical skills and proficiency in Python or R, SQL, command line tools, and GitHub. The role requires expertise in Bayesian statistics and object-oriented design to solve large data problems within the sports modeling domain, ultimately providing actionable insights for product, risk, and trading teams.
Develop, iterate, and deploy machine learning models to predict sports outcomes and solve complex modeling problems.
Manage a team of data scientists to develop production-ready models and address company-wide challenges.
Improve pricing techniques in collaboration with trading teams to optimize predictive and derivative model pricing.
Oversee the entire data lifecycle including collection, cleaning, and preparation for analysis.
Create dashboards and visualizations to communicate actionable insights and findings to stakeholders.
Develop project plans and lead technical discussions to ensure team goals are met.
Identify and resolve coding and modeling issues within a production code environment.
Mentor and develop talent within the data science organization to improve overall team performance.
What we're looking for
Experience managing or mentoring other data scientists or analysts.
Strong analytical and quantitative skills with high proficiency in Python, R, and SQL.
Expert level skill in building and using models to create production-level products and tools.
Strong understanding and application of Bayesian statistics.
Proficiency with command line tools and GitHub.
Object-oriented design and coding skills.
Strong verbal and written communication skills to present findings to senior management.
Minimum of 5 years’ of industry experience in data science, analytics or engineering (preferred); Bachelor's degree in a highly numerate major (preferred).
Python
AWS
Spark
H2O
SQL
Conda
Scala
R
Machine Learning
Deep Learning
Reinforcement Learning
Causal Inference
Recommender Systems
Relational Databases
Big Data
Sentiment Analysis
Time Series
Clustering