Data Science Manager

About the role

We are looking for a Data Science Manager to join our Sports Modeling & Innovation team, tackling challenging sports modeling problems. You will create predictive models of sports throughout the entire lifecycle—from data collection to results—to build tools and dashboards, price markets, and drive actionable insights across FanDuel Group. This role involves close collaboration with product, risk, and trading teams to model player performance, team performance, and game outcomes. You will also manage and develop other data scientists, promote effective communication of model outputs, and contribute to a collaborative code environment.

Responsibilities

• Develop, iterate, and take machine learning models to production to predict sports outcomes and solve problems.
• Improve the betting product range to ensure a market-leading offering.
• Continuously enhance pricing techniques at both individual and team levels, optimizing predictive and derivative model pricing.
• Manage a group of Data Scientists to develop production-ready models and solve company-wide challenges.
• Choose appropriate tools, systems, and models to solve large data problems.
• Troubleshoot and resolve coding and modeling issues presented by others.
• Proactively identify opportunities or problems for analysis.
• Create project plans for the Data Science team to follow.
• Present findings and analysis confidently to senior leaders with 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, demonstrating capabilities in feature and model selection.
• Contribute to a production code environment.
• Work with decision-makers to understand goals, identify data-driven opportunities, and improve business results.
• Create dashboards and data visualizations for analysis and communication.
• Identify, grow, and develop top talent within the Data Science organization.
• Lead regular forums within or across teams to ensure key decisions and conclusions are disseminated and understood.
• Make significant contributions to, set agendas for, and help steer large group meetings.
• Determine inefficiencies in workflows and seek solutions.

Requirements

• 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.
• Experience managing or mentoring other data scientists or analysts.
• Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL (or another coding language of choice).
• Strong understanding and application of Bayesian statistics.
• Expertise in building and using models to create production-level products and tools.
• Proficiency with command line tools and GitHub.
• Object-oriented design and coding skills.
• Strong verbal and written communication skills, including presenting findings to senior management.
• Ability to help stakeholders understand business KPIs.
• Drive efficiency and automation in data infrastructure.
• Ability to work across teams, locations, and time zones.
• Willingness to work nontraditional hours when applicable.
• Interest or experience in Sports Gaming and/or Fantasy Sports.

Benefits

• Comprehensive health plans (some as low as $0 per paycheck), including 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 a 5% match.
• Commuter benefits.
• Pet insurance.
• 14 paid company holidays.
• Paid sick time in accordance with all applicable state and federal laws.

Pay

The applicable salary range for this position is $149,000 - $186,000 USD, dependent on relevant experience, location, business needs, and market demand.

This role may also be eligible for short-term or long-term incentive compensation, including cash bonuses and stock program participation.