Data Scientist

Procter & Gamble

Cincinnati, Ohio, United States
Base: $85,000.00 - $122,200.00 py; bonus/equity: n...
Master's degree in quantitative field
Python programming proficiency
Machine learning library experience
This role focuses on solving billion-dollar data science problems by turning untidy data into nonobvious insights using Artificial Intelligence

Job Summary

  • This role focuses on solving billion-dollar data science problems by turning untidy data into nonobvious insights using Artificial Intelligence.
  • You will collaborate with Data and AI Engineering teams to productionize scalable algorithms within cloud environments on massive datasets.
  • The position requires mentoring others as a technical coach while becoming a recognized expert in specific Data Science techniques.

Matching Summary

Match Score: 85

This role focuses on solving billion-dollar data science problems by turning untidy data into nonobvious insights using Artificial Intelligence.

Salary

Base: $85,000.00 - $122,200.00 per year; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Master's degree in quantitative field
  • Python programming proficiency
  • Machine learning library experience
  • Cloud environment development skills
  • Strong written and verbal communication

Nice-to-have

  • Experience with Generative and Agentic AI
  • Operations Research optimization knowledge
  • DevOps familiarity including Git and CI/CD
  • Commitment to lifelong learning
  • Mentoring and technical coaching ability

Key Requirements

  • Master's degree in Operations Research, CS, or related field
  • Proficiency in Python and libraries like PyTorch/TensorFlow
  • No immigration sponsorship available for this role

Work Rights

Not specified

Tailored Resume

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