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1 месяц назад

Materials Data Scientist

125 000 - 140 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Materials Data Scientist: Designing and implementing predictive models and data-driven workflows to accelerate innovation and performance prediction of materials and formulations. Focus on advanced analytics, machine learning, and digital transformation in materials and formulation science.

Location: On-site in St. Paul, Minnesota, USA

Salary: $125,000 - $140,000

Company

hirify.global is the largest pureplay adhesives company globally, specializing in innovative coatings, adhesives, and sealants with a global presence and a strong R&D focus.

What you will do

  • Design and implement predictive models and data-driven workflows for materials and formulation innovation.
  • Manage, clean, transform, and integrate large experimental and materials datasets.
  • Apply machine learning and statistical methods to accelerate material selection and formulation optimization.
  • Support digital transformation and adoption of informatics tools within R&D.
  • Collaborate with IT and Data Governance teams to ensure data interoperability and structured data practices.
  • Develop maintainable Python code for automation of data preparation, model training, and visualization.

Requirements

  • Must have U.S. work authorization without visa sponsorship.
  • Advanced degree (Ph.D. or M.S.) in Chemistry, Polymer Science, Material Science, Chemical Engineering or related field.
  • 3+ years of relevant materials informatics or data science experience.
  • Proficiency in Python and strong analytical skills for transforming experimental data into insights.
  • Excellent communication and collaboration skills across scientific and technical disciplines.
  • Ability to travel up to 10%, including internationally.

Nice to have

  • 3+ years of industry experience in formulation or applied materials R&D.
  • Familiarity with digital R&D platforms such as ELN, LIMS, PLM, or data lakes.

Culture & Benefits

  • Competitive total rewards package including comprehensive benefits and incentive programs.
  • Health and wellness benefits, 401K contributions, paid time off and holidays.
  • Collaborative and inclusive culture valuing diversity and respect.

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