FanDuel is looking to enhance user experiences and gain a deep understanding of customer behavior through advanced data modeling.
Requirements
- 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
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
Other
- 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
- Comfortable with ambiguity and complexity
- Interest in Sports and/or Sports Gaming preferred
