Job Details

FanDuel Group is the premier mobile gaming company in the United States. 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 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

FanDuel is looking for a 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 technological capabilities, you will play a key role in bonus spend research, optimization, and communicating results to CRM and senior management.

This is a great opportunity for someone who values curiosity and empowerment in decision-making. The ideal candidate will have a passion for continuous learning and developing innovative solutions to business problems.

THE GAME PLAN

Everyone on our team has a part to play:

• Manage data science projects from inception to completion, including stakeholder engagement and reporting
• Deliver analysis, customer segmentation, and predictive models to drive revenue through optimized bonus spend distribution
• Enhance understanding of customer behaviors, promotion efficiency, and bonus spend effectiveness
• Develop new features for analysis, segmentation, and modeling through exploratory analysis
• Create and improve models that address business challenges and improve KPIs
• Present insights and predictions with clear visualizations and explanations
• Collaborate with Data Engineering to optimize data pipelines
• Develop skills for independent and accurate work
• Work with stakeholders to identify improvement areas and support strategic goals
• Mentor and develop less experienced team members
• Contribute innovative ideas for data science projects to enhance revenue and customer experience

THE STATS

What we're looking for in our next teammate:

• At least 3 years of Data Science or Analytics experience
• At least 1 year building and deploying complex machine learning models with real-world applications
• Strong technical skills for quantitative analysis
• Proficiency in SQL and large dataset manipulation in Excel
• Experience with Python, R, C#, VBA, etc.
• Excellent communication skills for explaining technical work to non-technical stakeholders
• Experience with data visualization tools like Tableau is a plus
• Bachelor's degree in a technical or numerate discipline
• An interest in sports and sports betting industry is advantageous

PLAYER BENEFITS

We offer comprehensive benefits including health plans, mental health support, fitness benefits, generous PTO, bonuses, 401k with match, pet insurance, and more. Details are available on our FanDuel Total Rewards page. Benefits may vary by location, role, and level.

FanDuel is an equal opportunity employer committed to diversity and inclusion. We believe that a diverse team makes us stronger and more innovative.

Salary Range: $116,000 - $145,000 USD, depending on experience and location. Benefits include health insurance, 401(k), bonuses, and paid time off. The role may also include incentive compensation and stock options.