Data Science Leader

24 hours ago

New York, New York, United States FanDuel Full time

FanDuel Group is a leading sports-tech entertainment company that is revolutionizing the way consumers engage with their favorite sports, teams, and leagues.

The company consists of a portfolio of innovative brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media.

FanDuel has a presence across all 50 states with approximately 17 million customers and 28 retail locations.

Its networks FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through its relationships with leading direct-to-consumer over-the-top platforms.

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

We are seeking a Vice President of Data Science to lead FanDuel's strategic direction and vision for data science and ML within the FanDuel Data Organization.

This is a key role in a fast-paced environment working with functional stakeholders in Commercial, Product, Marketing, Customer Service Operations and Data to identify FanDuel's business challenges and opportunities, and translate them into actionable, integrated, algorithm-driven solutions.

This role will champion a data-driven culture by fostering collaboration and common data literacy across data teams and business functions.

They will drive the development and implementation of advanced analytics models and machine learning algorithms to extract valuable insights from data that drive the business forward.

They will have the ability to communicate complex data analysis and findings effectively to both technical and non-technical audiences.

They will be responsible to stay abreast of emerging data trends and technologies and champion their adoption within the organization.

Key Responsibilities:

  • Lead and mentor the Data Science team, fostering a culture of continuous improvement and collaboration.
  • Develop and execute a comprehensive data science strategy that aligns with the company's business objectives and vision.
  • Collaborate with senior executives to define success metrics for data science products, ensuring alignment with business goals and driving measurable impact.
  • Drive innovation within the data science team by encouraging the adoption of new algorithms, tools, methodologies, and practices that enhance product effectiveness.
  • Engage with stakeholders across the organization to understand their data needs and translate them into actionable requirements.
  • Communicate complex technical concepts to non-technical audiences, ensuring all stakeholders are informed and confident in data science decisions.

Requirements:

  • PhD preferred
  • ~10+ years of experience in leading 20 mid-large Data Science Organizations
  • ~15+ years of Data Science experience including designing, building and deploying Algorithms at scale
  • ~ Proven track record of leading and scaling data Science teams in large, fast-paced technology driven environment - direct to consumer experience preferred
  • ~ Experience in building algorithms at scale in at least two of the following areas - Recommendation and Personalization, Fraud and Payments, Time Series models, Predictive models for CRM, NLP and Chatbots
  • ~ Experience managing large and complex projects involving multiple teams
  • ~ Proficiency in advanced analytics techniques and machine learning algorithms, including natural language processing, time series analysis, and other relevant methods.
  • ~ High familiarity with Data Science techniques including emerging areas like GenAI

What We Offer:

  • Career and professional development resources to help you refine your game plan for owning and driving your career and development
  • Medical, vision, and dental insurance; disability insurance; 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.
  • Paid personal time off and 14 paid company holidays.

We are an equal opportunity employer:

We want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance.

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