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Fanduel

Lead Data Scientist - Customer Segmentation

Sorry, this job was removed at 04:07 p.m. (EST) on Tuesday, Jul 22, 2025
Hybrid
New York City, NY
Hybrid
New York City, NY

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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 Lead Data Scientist who specializes in customer segmentation to partner closely with Marketing, Consumer Research and Insights, Product, and senior executives to design data science solutions that enable a deeper understanding of our customers. In this role you will develop machine learning algorithms for customer segmentation that are robust and scalable and drive decision-making across our sports betting and online casino platforms. This role is critical to helping the business understand needs and behaviors of existing and future customers.

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

  • Build customer segments using supervised and unsupervised machine learning techniques, including clustering, classification, regression, and anomaly detection that can be scaled to our entire customer base
  • Model user behavior and lifecycle trends to support customer acquisition, engagement, retention and promotional strategies.
  • Work cross-functionally with multiple teams across the business including Marketing, Consumer Research and Insights, Product
  • Build scalable, automated pipelines using Python, SQL, and cloud-native tools (AWS, GCP, etc.).
  • Present complex data insights to executive leadership and non-technical stakeholders with clarity and business context.
  • Mentor junior data scientists and set best practices for segmentation methods within the team

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

  • Master’s or PhD in Statistics, Computer Science, Mathematics, Economics, or equivalent work experience is preferred.
  • 7+ years of experience in machine learning, statistical analysis, segmentation modeling or other relevant experience.
  • Deep understanding of customer segmentation, survey methodology, look alike modeling.
  • Deep experience with statistical methods and robust inference. Ability to draw insights and conclusions from data to inform business decisions
  • Ability to partner with multiple cross functional teams across the business
  • Strong programming skills in Python and/or R; experience with pandas, statsmodels, scikit-learn, or similar libraries.
  • Excellent SQL skills and experience working with large-scale datasets and data warehouses (Snowflake, Redshift, BigQuery).
  • Ability to communicate complex models and results clearly to technical and non-technical stakeholders

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer 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, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $149,000 - $186,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.


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Fanduel New York, New York, USA Office

Our NYC office is located in the Flatiron district of Manhattan.

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