FanDuel is looking to optimize customer generosity distribution and bonus spend for their Sportsbook by leveraging data science for customer segmentation, modeling, automation, reporting, and data analysis.
Requirements
- Minimum of 3+ years of previous Data Science or Analytics Experience
- Minimum 1+ years building and deploying complex machine learning models with real world applications
- Have a developed technical skill set which facilitates high-quality, efficient & comprehensive quantitative analysis
- Proficient in SQL and experience of manipulating large datasets in Microsoft Excel
- Proficient in statistical or programming software and techniques (e.g. in Python, R, C, VBA, etc.)
- Experience working with data visualization tools like Tableau an advantage
Responsibilities
- Take on data science projects from start to finish, including working with stakeholders to agree project KPIs, and reporting on progress and outcomes throughout projects at agreed cadence
- Deliver high-quality analysis, customer segmentation and predictive models which help drive incremental revenue through optimal automated bonus spend distribution
- Improve our understanding of customer behaviors, efficiency of promotions, and effectiveness of bonus spend
- Through idea generation and exploratory analysis, develop new and innovative ways to turn behaviors into features for use in analysis, segmentation and predictive modeling
- Create, modify, and evolve models which solve business problems, and show demonstrable improvements to department KPIs
- Demonstrate accurate insights and predictions using easy to interpret visualizations and clear explanations of results, recommendations, methods, biases and limitations
- Work with Data Engineering and Analytics Engineer to optimize data quality and data modeling pipelines
Other
- Take responsibility to learn the necessary skills and techniques, to develop ability to work with independence, integrity and accuracy
- Collaborate with key stakeholders to help in identifying areas for improvement, and support their strategic objectives
- Assist in coaching, developing and performance managing less experienced team members
- Contribute new ideas for data science projects which have demonstrable potential to improve revenue performance or customer experience
- Strong communication and presentation skills, experienced in explaining technical projects to non-technical stakeholders
