Senior Active-Learning ML Scientist for Chemistry & Process

Hexion

Columbus (OH)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

Hexion, located in Columbus, Ohio, is seeking an experienced professional to lead the design and execution of optimization and active-learning campaigns. Your role will involve collaboration with R&D and manufacturing, with a strong focus on Bayesian optimization and machine learning methods.

Candidates should possess a Bachelor's degree in a relevant field, have over 7 years of experience in optimization, and demonstrate expertise in statistical methods and Python. This position offers an opportunity to work in a dynamic environment covering various optimization challenges.

Qualifications

  • Minimum 7 years of ML modeling or optimization experience.
  • Strong expertise in Bayesian optimization and Gaussian processes.
  • Experience in applied statistics and uncertainty quantification.

Responsibilities

  • Lead optimization and active-learning campaigns in chemistry and formulation.
  • Collaborate with R&D and manufacturing on optimization problems.
  • Design experiment campaigns using Bayesian optimization.

Skills

Machine Learning
Bayesian Optimization
Python
Statistics
Collaboration Skills

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Operations Research or related field
Master's degree preferred

Tools

Python-based ML frameworks
AI-assisted coding tools

Job description

Hexion, located in Columbus, Ohio, is seeking an experienced professional to lead the design and execution of optimization and active-learning campaigns. Your role will involve collaboration with R&D and manufacturing, with a strong focus on Bayesian optimization and machine learning methods.

Candidates should possess a Bachelor's degree in a relevant field, have over 7 years of experience in optimization, and demonstrate expertise in statistical methods and Python. This position offers an opportunity to work in a dynamic environment covering various optimization challenges.

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