ZipRecruiter

Log In

1

Materials Informatics Data Scientist Jobs (NOW HIRING)

Jobtailor

PhD or equivalent experience in materials science, chemistry, chemical engineering, data science ... Experience with cheminformatics, materials informatics, Generative AI, ML tools for accelerating ...

Itape

Mentor junior data scientists or technical staff and contribute to data science best practices within R&D * Stay current with advances in materials informatics, polymer modeling, and applied AI in ...

New

Kenvue

Principal, R&D Digital Enablement

Summit, NJ · On-site

Evaluate materials informatics and automation opportunities based on the scientific question, data readiness, workflow maturity, integration needs, technical feasibility, validation requirements ...

SCF

Data Scientist Associate

Anchorage, AK · On-site

$61K - $61K/yr

OR GED 2. Bachelor's degree in medical health informatics, data science, statistics, mathematics, public health, computer science; OR equivalent combination of education and experience. 3. One (1) ...

next page

Showing results 1-20

All JobsMaterials Informatics Data Scientist Jobs

Materials Informatics Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do materials informatics data scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for materials informatics data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Materials Informatics Data Scientist jobs?

For Materials Informatics Data Scientist jobs, the most frequently searched job titles are:

Materials Informatics Scientist

On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 7 days ago

Job description

Lead activities in generative AI and physics-informed machine learning for product, formulation, material/process discovery and design
Develop advanced data-driven and physics-based models to guide and accelerate the development of products, materials and processes for sustainable solutions and new mobility applications
Analyze and interpret materials data using advanced statistical and data mining techniques
Propose, execute and defend project concepts
Collaborate and plan experimental campaigns for model development, validation and deployment with Freudenberg Business Groups
Identify and prioritize promising materials candidates for further investigation and development
Work with internal and external experts to develop high business impact solutions
Communicate results through reports and presentations to technical and non-technical audiences, including C level
Collaborate with materials scientists, engineers, and researchers across geographic locations
Collaborate with industry or academic specialists to apply research results and develop new techniques

Requirements
  • PhD or equivalent experience in materials science, chemistry, chemical engineering, data science, computer science, physics, mechanical engineering, or a related field
  • Minimum 3+ years of experience in computational methods for material and product design, either in industry or academia
  • Strong knowledge of materials science fundamentals, including structure-property relationships, materials characterization, and the principles governing material properties and behavior
  • Experience with cheminformatics, materials informatics, Generative AI, ML tools for accelerating multiscale and multiphysics simulations
  • Proficiency in programming languages like Python, Julia, C/C++, and familiarity with SQL, MySQL, MongoDB, Flask, Azure, or other cloud technologies
  • Ability to work independently and as part of a team
  • Strong communication and stakeholder engagement skills
  • International outlook and willingness to travel as a plus
  • Excellent analytical, problem/situation analysis, and critical thinking skills
  • Ability to manage multiple projects and meet deadlines in a fast-paced, globally matrixed environment
Core Competencies

Demonstrates expertise in generative AI and physics-informed machine learning for product and material development, with strong analytical skills in data interpretation and modeling. Proficient in collaborating with cross-functional teams and communicating complex results to diverse audiences.

Highest-signal resume keywords
  • PhD In Materials Science
  • Generative AI
  • Materials Informatics
  • Python Programming
  • Computational Methods For Material Design
Hard Skills
  • Data Mining Techniques
  • Statistical Analysis
  • Materials Characterization
  • Structure-Property Relationships
  • Multiscale Simulations
  • Multiphysics Simulations
  • Cheminformatics
  • Critical Thinking
  • Project Management
  • Problem Analysis
Soft Skills
  • Strong Communication Skills
  • Stakeholder Engagement
  • Team Collaboration
  • Independent Work
  • Analytical Thinking
Industry Keywords
  • Materials Science
  • Chemical Engineering
  • Data Science
  • Physics
  • Mechanical Engineering
  • Sustainable Solutions
  • New Mobility Applications
  • Experimental Campaigns
  • Technical Presentations
  • Global Collaboration
Tools & Technologies
  • Python
  • Julia
  • C/C++
  • SQL
  • MySQL
  • MongoDB
  • Flask
  • Azure
  • Cloud Technologies
  • Machine Learning Tools
#J-18808-Ljbffr

Apply