Data Science Manager, MLB

The Data Science Manager will lead sports modeling and innovation efforts on the Sports Modeling & Innovation team, tackling challenging sports modeling problems across the lifecycle of models from data collection to results. The role involves creating predictive models of sports, building tools and dashboards, pricing markets, and driving actionable insights across FanDuel Group. The manager will work closely with product, risk, and trading teams, modeling player performance, team performance, and game outcomes, while also managing and developing other data scientists.

• Develop, iterate, and take to production machine learning models to predict sports outcomes and solve problems.
• Create predictive models to build tools and dashboards, price markets, and drive actionable insights across FanDuel Group.
• Work closely with product, risk, and trading teams to model player performance, team performance, and game outcomes.
• Manage and develop a group of Data Scientists, including identifying, growing, and developing top talent within the Data Science organisation.
• Iterate and improve on betting product range to ensure a market-leading offering.
• Continuously improve pricing techniques, both individually and with trading teams, to optimise predictive and derivative model pricing.
• Choose appropriate tools, systems, and models to solve large data problems.
• Troubleshoot and resolve coding and modeling problems presented by others.
• Proactively seek opportunities or problems to be analyzed.
• Create project plans for the Data Science team to follow.
• Present findings and analysis to senior leaders with confidence and impact.
• Construct models, analyses, and solutions in response to stakeholder or colleague questions.
• Manage the data preparation process from collection through cleaning.
• Build robust predictive models with strong feature and model selection.
• Contribute to a production code environment.

• Experience managing or mentoring other data scientists or analysts.
• Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL (or coding language of choice).
• Strong understanding and application of Bayesian statistics.
• Expert in building and using models to create production-level products and tools.
• Proficient with command line tools and GitHub.
• Object-oriented design and coding skills.
• Strong verbal and written communication skills, including presenting findings to senior management and being accountable for the entire agenda of projects owned.
• Ability to work across teams, locations, and time zones.
• Willing to work nontraditional hours when applicable.

• Minimum of 5 years' of industry experience in data science, analytics, or engineering.
• Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science.
• Interest or experience in Sports Gaming and/or Fantasy Sports.

• Array of health plans to choose from (some as low as $0 per paycheck), including programs for fertility and family planning, mental health support, and fitness benefits.
• Generous paid time off (PTO & sick leave).
• Annual bonus and long-term incentive opportunities (based on performance).
• 401k with up to 5% match.
• Commuter benefits.
• Pet insurance.
• Medical, vision, and dental insurance.
• Life insurance.
• Disability insurance.
• Short-term or long-term incentive compensation, including cash bonuses and stock program participation.
• Paid personal time off and 14 paid company holidays.
• Paid sick time in accordance with applicable state and federal laws.

FanDuel Group is the premier mobile gaming company in the United States and Canada, consisting of a portfolio of leading brands across mobile wagering including FanDuel Sportsbook, FanDuel Casino, FanDuel Racing, and its daily fantasy sports product. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator, traded on the New York Stock Exchange (NYSE: FLUT).