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Lead Value Engineer - Life Sciences

Celonis · New York, US, New York · On-site

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About Celonis

Backed by Accel.

About the role

Predictive Modeling and Optimization: Leverage data stored within the Celonis context model to design and deploy advanced time-series forecasting, optimization, and predictive algorithms to solve complex logistics constraints (e.g., dynamic inventory routing, schedule optimization).

What they're looking for

  • Strong presentation skills to both internal and external stakeholders (including supply chain executives and IT leaders), whether leading technical whiteboarding sessions or formal readouts and demos
  • Bachelor’s Degree required, Master's Degree in computer science, supply chain management, engineering, mathematics, or related fields, or equivalent work experience preferred
More about this role

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

As a Lead Value Engineer specializing in the Life Sciences, you are pushing the envelope in solving business-critical problems for the world's largest, most diversified life science organizations. You will be working intimately with this strategic client, understanding their uniquely complex objectives—spanning from logistics to the precision distribution of advanced products—and building Celonis solutions using the world’s leading Process...

Read the full posting on Celonis's site ↗

Value Engineering

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