Data Product Manager

FanDuel

New York City, USA
Base: $116,000 - $145,000 usd; bonus/equity: annua...
On-site
Data science and machine learning products
Ml platform evolution and adoption
Experiment tracking and model lifecycle
Drive the development and enhancement of Data Science and Machine Learning products, focusing on the ML Platform's evolution and adoption

Job Summary

  • Drive the development and enhancement of Data Science and Machine Learning products, focusing on the ML Platform's evolution and adoption.
  • Lead elicitation of requirements, prioritize the product backlog, and work closely with cross-functional teams to align the platform with business objectives.
  • FanDuel offers a range of health plans, generous PTO, annual bonus, long-term incentive opportunities, and 401k with match.

Matching Summary

Drive the development and enhancement of Data Science and Machine Learning products, focusing on the ML Platform's evolution and adoption.

Salary

Base: $116,000 - $145,000 USD; Bonus/Equity: annual bonus and long-term incentive opportunities; Benefits: health plans, PTO, 401k match, commuter benefits, pet insurance

Skills & Requirements

Must-have

  • Data Science and Machine Learning products
  • ML Platform evolution and adoption
  • Experiment tracking and model lifecycle
  • Data scientists and engineers collaboration
  • SQL and Python for data tasks
  • MLflow for model management
  • Feature stores for ML models

Nice-to-have

  • Commercial understanding and innovative solutions
  • Enabling force for sustainable change
  • PM community knowledge sharing
  • Adapt quickly to changing priorities
  • Drive high standards and deliver value

Key Requirements

  • 3-6 years Product Manager, Product Owner, or Data Scientist experience
  • Experience with data warehouse and data science technologies
  • Proficiency with machine learning frameworks
  • Expertise in Databricks
  • Strong proficiency in SQL and Python
  • Hands-on experience with MLflow
  • Familiarity with ML observability tools
  • Understanding of Infrastructure as Code principles
  • Extensive experience with feature stores
  • Proficiency in reporting and data visualization tools
  • Exceptional analysis skills
  • Proven stakeholder interview and workshop experience
  • Bachelor's degree in a relevant field

Work Rights

Not specified

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