Senior Data Scientist – Generosity

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Senior Data Scientist, to drive our Sportsbook customer generosity distribution and bonus spend optimization. In this role you will be responsible for customer segmentation, modeling, automation, reporting and data analysis across all areas of Sportsbook generosity distribution. Using your numerical and technology capabilities you will play a key role in bonus spend research, optimization and communication of results to CRM and Commercial senior management.

This is a great opportunity for somebody who wants to work in an environment where curiosity is rewarded and people are empowered to make decisions. The ideal candidate will have a passion for continual learning and developing innovative solutions to business problems.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

• Lead 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 value, behaviors, efficiency of promotions, and effectiveness of bonus spend;
• Create, modify, and evolve models which solve business problems, and show demonstrable improvements to department KPIs;
• Through idea generation and exploratory analysis, develop new and innovative ways to turn behaviors into features for use in analysis, segmentation and predictive modeling;
• 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;
• Work with Machine Learning Engineering teams to optimally deploy models in production;
• Take responsibility to learn the necessary skills and techniques, in order to work with independence, integrity and accuracy;
• Collaborate with key stakeholders to effectively identify 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;

THE STATS
What we're looking for in our next teammate

• Minimum of 4+ years of previous Data Science or Analytics Experience
• Minimum 3+ years building and deploying complex machine learning models with real world applications
• Have a highly-developed technical skill-set which facilitates high-quality, efficient & comprehensive quantitative analysis;
• Expert in SQL and experience of manipulating large datasets in Microsoft Excel
• Expert in statistical or programming software and techniques (e.g. in Python, R, C#, VBA , etc.)
• Strong communication and presentation skills, experienced in explaining technical projects to non-technical stakeholders
• Experience working with data visualization tools like Tableau an advantage
• Undergraduate degree in a numerate or technical discipline
• Knowledge of sports is a plus
• Inte