Hands-on
2026-02 · Machine Learning/Expert
Explore a possible path
Materials Scientists
Research and study the structures and chemical properties of various natural and synthetic or composite materials, including metals, alloys, rubber, ceramics, semiconductors, polymers, and glass. Determine ways to strengthen or combine materials or develop new materials with new or specific properties for use in a variety of products and applications. Includes glass scientists, ceramic scientists, metallurgical scientists, and polymer scientists.
How does this connect to your interests? →A look at the work
- Conduct research on the structures and properties of materials, such as metals, alloys, polymers, and ceramics, to obtain information that could be used to develop new products or enhance existing ones.
- Test metals to determine conformance to specifications of mechanical strength, strength-weight ratio, ductility, magnetic and electrical properties, and resistance to abrasion, corrosion, heat, and cold.
- Test material samples for tolerance under tension, compression, and shear to determine the cause of metal failures.
- Determine ways to strengthen or combine materials or develop new materials with new or specific properties for use in a variety of products and applications.
- Prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors, such as sponsors and customers.
- Plan laboratory experiments to confirm feasibility of processes and techniques used in the production of materials with special characteristics.
- Recommend materials for reliable performance in various environments.
- Supervise and monitor production processes to ensure efficient use of equipment, timely changes to specifications, and project completion within time frame and budget.
A selection of source-listed tasks; duties vary by role and employer.
Interests involved in this work
These source scores describe occupational work activities. They are separate from your personal test results.
5.8 / 7
Investigative
2026-02 · Machine Learning/Expert
Creative
2026-02 · Machine Learning/Expert
Helping people
2026-02 · Machine Learning/Expert
Enterprising
2026-02 · Machine Learning/Expert
Organizing
2026-02 · Machine Learning/Expert
Skills to explore
Source-reported importance on a 1–5 scale. Try a course, project or conversation to learn what these skills involve.
Active Listening
Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
2024-08
Science
Using scientific rules and methods to solve problems.
2024-08
Critical Thinking
Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
2024-08
Reading Comprehension
Understanding written sentences and paragraphs in work-related documents.
2024-08
Complex Problem Solving
Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
2024-08
Writing
Communicating effectively in writing as appropriate for the needs of the audience.
2024-08
Speaking
Talking to others to convey information effectively.
2024-08
Active Learning
Understanding the implications of new information for both current and future problem-solving and decision-making.
2024-08
Judgment and Decision Making
Considering the relative costs and benefits of potential actions to choose the most appropriate one.
2024-08
Mathematics
Using mathematics to solve problems.
2024-08
Plan a small next step
Talk to someone doing this work, look for a supervised activity, and explore the subjects that interest you. Admission, licensing and current program requirements should be confirmed with the relevant institutions.
Source preparation category: Job Zone 4 of 5 · 2024-08. This category describes typical preparation, not your eligibility.
Related study fields
Source crosswalk connections are research leads, not required qualifications.
Explore all related study fields →Source & methodology
O*NET-SOC code 19-2032.00 · Database 31.0 · Retrieved Oct 14, 2026. Dates on individual observations describe their source periods.
How interest exploration matching works →Data: O*NET® 31.0 Database, U.S. Department of Labor, Employment and Training Administration. Used under CC BY 4.0. StudyIndex normalizes the presentation and adds exploration features; USDOL/ETA has not approved, endorsed or tested these additions.