Data Product Manager - Machine Learning

American Family Ventures

New York City, US
$116,000 - $145,000 usd; not specified; not specif...
On-site
Machine learning platform
Experiment tracking
Model lifecycle management
American Family Ventures is seeking a Data Product Manager for its Data Products team in New York City. The role involves collaborating with cross-functional teams to develop and enhance machine learning products, requiring experience in data science, product management, and strong technical skills

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.
  • Partner closely with our Data Science and Machine Learning Data Engineering teams to deliver value through data.

Matching Summary

Match Score: 85

American Family Ventures is seeking a Data Product Manager for its Data Products team in New York City. The role involves collaborating with cross-functional teams to develop and enhance machine learning products, requiring experience in data science, product management, and strong technical skills.

Salary

$116,000 - $145,000 USD; Not specified; Not specified

Skills & Requirements

Must-have

  • Machine Learning Platform
  • experiment tracking
  • model lifecycle management
  • observability
  • feature engineering
  • data science
  • machine learning data engineering

Nice-to-have

  • commercial understanding
  • innovative solutions
  • knowledge sharing
  • cross-skilling

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 and monitoring tools
  • Understanding of Infrastructure as Code (IaC) principles
  • Extensive experience with feature stores
  • Proficiency in reporting and data visualization tools
  • Bachelor's degree in a relevant field preferred

Work Rights

Not specified

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