Senior Data Scientist

Full-time - Senior

Atlanta, GA

About the position

FanDuel is looking for a Senior Data Scientist who specializes in customer behavior modeling to join our team. In this role you will develop and implement advanced models focused on enhancing user experiences and a deep understanding of customer behavior through the marketing, product, and analytics lens. This role requires a strong background in data science, machine learning, and a deep understanding of customer analytics. It is expected in this role to take ownership of open-ended ambiguous problems and reach an optimal solution by narrowing multiple options into the best approach.

Responsibilities

• Develop and deploy machine learning models to drive personalized recommendations and user experiences across business units
• Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions
• Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer
• Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making
• Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership
• Stay up to date on the latest advancements in data science and leverage cutting edge technology
• Mentor, brainstorm with, and enable others within the DS team and broader Data organization

Requirements

• Bachelor’s degree needed in a highly numerate major (Computer Science, Math, Stats, Econ, etc.); MS degree preferred
• 5+ years of experience in Data Science creating and deploying models
• Hands on experience working in customer personalization and a strong understanding of the technical elements required in building and maintaining advanced models
• Experience in experimentation to validate models' impact and ability to quantify that impact
• Experience using user behavioral, promotional and marketing data in model building
• Proficiency in SQL and Python
• Experience with tech stacks such as MLFlow, Spark, and Databricks
• Can write production level code, understand principles of programming
• Comfortable with ambiguity and complexity

Nice-to-haves

• Interest in Sports and/or Sports Gaming preferred

Benefits

• Array of health plans to choose from (some as low as $0 per paycheck)
• Programs for fertility and family planning
• Mental health support
• 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