Demo

Director of Product Management - ML/Data Science

Harnham
San Francisco, CA Full Time
POSTED ON 2/15/2025
AVAILABLE BEFORE 5/11/2025

DIRECTOR OF PRODUCT MANAGEMENT - ML / DATA SCIENCE

250,000 - $275,000 BASE BONUS EQUITY

SAN FRANCISCO, CA I HYBRID

An exciting opportunity building data science products focused on AI / ML and commercializing the products with the goal of accelerating bioprocess development. Establish and roll out the data science initiatives for the company and clients alike!

THE COMPANY

Leading the charge in bioprocess development for fermentation and biologics, the company differentiates itself by building bio-reactors in house for customer use. Forming strategic partnerships with companies from small biotech firms to large pharma organizations to commercialize the use of their bio-reactors, they enhance customer service offerings, innovate upstream bioprocessing, advance development, manufacture new therapies, and more specifically. With a team of 10 engineers, this company is in need of a strong leader to establish a data team outside of engineering.

THE ROLE

As Director of Product Management - ML / Data Science, you'll drive data science initiatives focused on AI / ML, aligning data science solutions between internal capabilities and customer needs. You can expect to be doing the following...

  • Stand up ML / data science & customer analytics capabilities; meet biopharma customer needs, steer the direction of technology advancement & AI / ML tooling decisions within the company itself
  • Working with customer data across biotechnology & pharmaceutical sectors to build commercialized data science products; gather understanding of customer data science needs & build revenue-generating products internally
  • Insights, recommendations, & enhancements; work with bioreactor experimentation data to gather & extract insights with the goal of enhancing product development internally and for customers

YOUR SKILLS & EXPERIENCES

  • 6 years of experience in a data science role, 3 years management in established ML / data science functions experience
  • Bachelors Degree in a technical field (Computer Science, Statistics, Economics, etc.), a must
  • Biopharma experience, a must
  • Data architecture & cloud experience, AWS ideally
  • Ability to work with customer teams, both technical and non-technical
  • Proactive problem solver excited about the opportunity to build something from the ground up
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