Data Product Manager - Machine Learning

FanDuel

New York City, US
$116,000 - $145,000 usd py
**
Machine learning platform
Experiment tracking
Model lifecycle management
** FanDuel is seeking a Data Product Manager for their Data Products team in New York City. The role involves driving the development of machine learning platforms while collaborating with cross-functional teams, ensuring alignment with business objectives. **

Job Summary

  • Drive the evolution and adoption of our ML Platform, including experiment tracking, model lifecycle management, observability, and feature engineering capabilities.
  • Lead elicitation of requirements, in the form of user stories & acceptance criteria, prioritizing the product backlog to streamline the execution of program priorities.
  • We offer amazing benefits above and beyond the basics, including health plans, generous paid time off, annual bonus and long-term incentive opportunities, and 401k with up to a 5% match.

Matching Summary

Match Score: 75

** FanDuel is seeking a Data Product Manager for their Data Products team in New York City. The role involves driving the development of machine learning platforms while collaborating with cross-functional teams, ensuring alignment with business objectives. **

Salary

$116,000 - $145,000 USD

Skills & Requirements

Must-have

  • Machine Learning Platform
  • Experiment Tracking
  • Model Lifecycle Management
  • Observability
  • Feature Engineering
  • Data Science and ML Products
  • Cross-functional collaboration

Nice-to-have

  • Commercial understanding
  • Innovative solutions
  • Knowledge sharing culture
  • Sustainable change guidance

Key Requirements

  • 3-6 years of experience as a Product Manager
  • Experience with Python, PySpark, Databricks, AWS, MLflow
  • Proficiency with TensorFlow, PyTorch, or scikit-learn
  • Expertise in using Databricks
  • Strong proficiency in SQL and Python
  • Hands-on experience with MLflow
  • Familiarity with ML observability tools
  • Understanding of Infrastructure as Code (IaC)
  • Extensive experience with feature stores
  • Proficiency in reporting and data visualization tools
  • Exceptional analysis skills
  • Proven experience conducting stakeholder interviews
  • Bachelor's degree in a relevant field

Work Rights

Not specified

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