Hands-on
2026-02 · Machine Learning/Expert
Explore a possible path
Environmental Scientists and Specialists, Including Health
Conduct research or perform investigation for the purpose of identifying, abating, or eliminating sources of pollutants or hazards that affect either the environment or public health. Using knowledge of various scientific disciplines, may collect, synthesize, study, report, and recommend action based on data derived from measurements or observations of air, food, soil, water, and other sources.
How does this connect to your interests? →A look at the work
- Communicate scientific or technical information to the public, organizations, or internal audiences through oral briefings, written documents, workshops, conferences, training sessions, or public hearings.
- Monitor effects of pollution or land degradation and recommend means of prevention or control.
- Collect, synthesize, analyze, manage, and report environmental data, such as pollution emission measurements, atmospheric monitoring measurements, meteorological or mineralogical information, or soil or water samples.
- Review and implement environmental technical standards, guidelines, policies, and formal regulations that meet all appropriate requirements.
- Provide scientific or technical guidance, support, coordination, or oversight to governmental agencies, environmental programs, industry, or the public.
- Process and review environmental permits, licenses, or related materials.
- Conduct environmental audits or inspections or investigations of violations.
- Provide advice on proper standards and regulations or the development of policies, strategies, or codes of practice for environmental management.
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.
4.8 / 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.
2023-08
Writing
Communicating effectively in writing as appropriate for the needs of the audience.
2023-08
Speaking
Talking to others to convey information effectively.
2023-08
Science
Using scientific rules and methods to solve problems.
2023-08
Reading Comprehension
Understanding written sentences and paragraphs in work-related documents.
2023-08
Complex Problem Solving
Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
2023-08
Critical Thinking
Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
2023-08
Active Learning
Understanding the implications of new information for both current and future problem-solving and decision-making.
2023-08
Monitoring
Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action.
2023-08
Coordination
Adjusting actions in relation to others' actions.
2023-08
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 · 2023-08. This category describes typical preparation, not your eligibility.
Related study fields
Source crosswalk connections are research leads, not required qualifications.
Geography and Environmental Studies →
Explore all related study fields →Source & methodology
O*NET-SOC code 19-2041.00 · 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.