Data Science Manager
$149,000–$186,000 year
HybridNew York City, New York, United States
Job Summary
Develop, iterate, and take to production machine learning models to predict sports outcomes, optimize pricing techniques, and build tools and dashboards across the FanDuel Group. Manage a group of data scientists to develop production-ready models, troubleshoot coding issues, and put together project plans for the team. Lead regular forums to ensure key decisions are disseminated, present findings to senior leaders, and construct analyses in response to stakeholder questions. Manage the data preparation process from collection through cleaning, bring efficiency and automation to the data infrastructure, and identify inefficiencies in ways of working. Work with decision-makers to understand business goals and develop new insights.
Required Qualifications
- 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 coding language of choice)
- Strong understanding and application of Bayesian statistics
- Expert in building and using models to help 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
- Ability to work across teams, locations and time zones
- Willing to work nontraditional hours when applicable
Desired Qualifications
- Interest or experience in Sports Gaming and/or Fantasy Sports
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