Intelligence Brief Sciences Sector
Environmental Scientist
Environmental scientists study the environment and develop solutions to environmental problems. They work in various settings, including laboratories, offices, and outdoor sites to collect data, analyze samples, and cond…
- $76,480
- Median salary
- 6%
- Projected growth
- 43/100
- Difficulty
- Bachelor's
- Min. education
Executive Summary
- Environmental Scientist scores 50/100 (C-), reflecting a challenging profile relative to other careers.
- Median salary of $76,480 reflects moderate earning potential.
- Projected growth of 6% is below the national average.
- AI resilience score of 66 indicates moderate disruption risk — core human elements remain, but routine tasks face automation pressure.
Environmental Scientist scores 50/100 — C-. The strongest dimension is salary (38/100), followed by remote potential (35/100). The biggest challenge: job growth (21/100).
Research Insights
- At Risk
Future-proof
Environmental Scientist faces significant headwinds for long-term viability (47/100). Projected growth of 6% is below the national average. Professionals should develop differentiated skills that AI cannot easily replicate.
Score 47 /100 - Limited
Social Mobility
Environmental Scientist has limited social mobility potential (41/100). The combination of below-average earning potential makes this a challenging path for upward economic mobility. Consider alternative paths in the Sciences field that offer stronger returns on educational investment.
Score 41 /100 - Below Average
Long-Term Outcomes
Environmental Scientist faces headwinds for long-term positive outcomes (44/100). Slower-than-average job growth suggest that professionals in this field should plan for potential transitions or significant skill evolution over the next decade.
Score 44 /100
Economic Importance
Environmental scientists play a crucial role in addressing pressing global issues such as climate change, pollution, and biodiversity loss. Their work informs policy decisions, guides sustainable practices across industries, and ultimately contributes to the health of ecosystems and communities.
Role Analysis
What a Environmental Scientist Does
Environmental scientists study the environment and develop solutions to environmental problems. They work in various settings, including laboratories, offices, and outdoor sites to collect data, analyze samples, and conduct research that informs policy and public awareness. The role often involves collaboration with government agencies, non-profit organizations, and private companies to assess environmental impacts and advocate for sustainable practices.
Individuals who thrive as environmental scientists typically possess strong analytical skills, a passion for nature, and the ability to communicate complex information effectively. They often find fulfillment in contributing to the preservation of natural resources and improving public health through environmental stewardship.
A Day in the Life
- Collecting and analyzing environmental samples such as air, soil, and water.
- Conducting field surveys to assess environmental conditions and impacts.
- Preparing detailed reports and presentations for stakeholders.
- Collaborating with interdisciplinary teams to develop environmental policies.
- Monitoring compliance with environmental regulations and standards.
- Researching and recommending solutions to environmental issues.
- Staying updated on environmental laws and scientific advancements.
Compensation Structure
By Experience Level
- Entry level
- $50,000 - $65,000
- Mid-career
- $70,000 - $85,000
- Senior / experienced
- $85,000 - $100,000
By Company Size
| Company | Base | Bonus | Equity | Total |
|---|---|---|---|---|
| Small business / Startup | $50,000 - $65,000 | $1,000 - $5,000 | N/A | $51,000 - $70,000 |
| Mid-market | $70,000 - $85,000 | $2,000 - $8,000 | $0 - $10,000 | $72,000 - $103,000 |
| Large corporate | $76,000 - $90,000 | $3,000 - $10,000 | $0 - $15,000 | $79,000 - $115,000 |
| Enterprise / Public company | $85,000 - $100,000 | $5,000 - $15,000 | $0 - $20,000 | $90,000 - $135,000 |
Compensation for environmental scientists typically scales with company size, with larger organizations offering higher base salaries and substantial bonuses. Startups may offer lower salaries but could provide a more dynamic work environment.
Outlook · 6% growth
The demand for environmental scientists is driven by increased awareness of environmental issues and the need for sustainable practices. The projected 6% job growth over the next decade indicates a steady need for professionals to address ongoing and emerging environmental challenges.
Career Pathways
The trajectory to Environmental Scientist varies by entry point and specialization. Below are the most common paths, typical timelines, and advancement probabilities.
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Traditional Path
Earn a Bachelor's Degree → Gain Relevant Experience → Consider Advanced Education → Obtain Certifications → Network Professionally → Target role- Timeline
- 4-6 years
- Advancement probability
This path is straightforward and often leads to stable employment opportunities in the field.
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Alternative Path
Earn a Bachelor's Degree → Enter the Workforce → Gain Certifications → Network Professionally → Target role- Timeline
- 3-5 years
- Advancement probability
This route allows for quicker entry into the job market but may require additional certification for advancement.
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Academic/Research Path
Earn a Bachelor's Degree → Pursue a Master's or PhD → Engage in Research Projects → Publish Findings → Target role- Timeline
- 6-10 years
- Advancement probability
While this path can lead to prestigious roles, it is highly competitive and requires significant dedication and research output.
Skill Stack
The Environmental Scientist skill set operates across four layers. Differentiator skills (marked) are the competencies that most strongly predict advancement to this role.
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Foundation
- Data analysis and interpretation
- Basic field research techniques
- Understanding of environmental regulations
- Technical writing skills
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Intermediate
- Project management
- GIS proficiency
- Laboratory skills and safety protocols
- Advanced data analysis techniques
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Advanced
- Strategic planning for sustainability
- Expertise in regulatory compliance
- Advanced technical writing for policy
- Leadership in project management
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Differentiating
Differentiator- Public engagement and outreach
- Innovative problem-solving in environmental contexts
- Interdisciplinary collaboration skills
Scorecard Analysis
Our proprietary scorecard evaluates careers across five dimensions from BLS wage and growth data, O*NET work context, and standard education requirements. The blended difficulty score reflects the combined challenge across all metrics.
Below-average earning
Below-average growth
Moderate education barrier
Primarily in-person
Less competitive
Career Difficulty Score
43/100
Environmental Scientist offers limited remote work options and a less competitive field.
AI Resilience Assessment
Our AI Resilience score estimates how likely a career is to be disrupted by artificial intelligence. Scores are based on a category baseline adjusted by keyword analysis of job duties. A score of 70+ means low automation risk; 50\u201369 means moderate risk; below 50 means high risk.
- Domain expertise provides some protection against full automation.
- AI tools can automate documentation, scheduling, and information retrieval tasks.
- Risk factor: Standardized processes within this field are increasingly automated.
AI Verdict
Environmental Scientist faces moderate disruption risk. While AI will automate routine components, core responsibilities still require human oversight, strategic thinking, and interpersonal skills. Upskilling in AI collaboration tools is recommended for long-term career stability.
Risk Factors & Failure Modes
Understanding where professionals stall or fail to reach this role is as important as knowing the path. Below are the most common bottlenecks.
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A lack of practical experience in the field can hinder advancement and limit hands-on skills.
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Insufficient networking can lead to missed opportunities for partnerships and job placements.
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Failure to stay updated with regulatory changes can impact job performance and career growth.
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Limited technical writing skills may result in ineffective communication of research findings.
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Inability to adapt to new technologies can leave professionals behind in a rapidly evolving field.
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Poor public outreach skills can reduce effectiveness in roles that require stakeholder engagement.
Environmental Scientist Archetypes
There is no single profile for a Environmental Scientist. Professionals reach this role through different backgrounds, each bringing distinct strengths and limitations.
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The Regulatory Consultant
This archetype specializes in understanding and implementing environmental regulations, often working with government agencies or corporations to ensure compliance.
Strengths
- Strong knowledge of environmental laws
- Excellent technical writing skills
- Ability to navigate complex legal frameworks
- Detail-oriented approach to documentation
Weaknesses
- Limited fieldwork experience
- May struggle with public outreach
- Potentially narrow focus on compliance over innovation
Best fit: Government agencies or firms focused on compliance and regulation.
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The Field Researcher
Field researchers conduct hands-on studies in various environments, collecting data to assess ecological conditions and impacts.
Strengths
- Strong fieldwork and sampling skills
- Ability to analyze real-world data
- Practical problem-solving abilities
- Adaptability to different environments
Weaknesses
- May have limited experience with data analysis software
- Field conditions can be physically demanding
- Potentially less exposure to policy implications
Best fit: Research institutions or environmental NGOs.
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The Sustainability Advisor
This archetype focuses on promoting sustainable practices within organizations, often working as part of corporate sustainability teams.
Strengths
- Strong communication and outreach skills
- Ability to integrate sustainability into business strategies
- Knowledge of sustainable technologies
- Project management capabilities
Weaknesses
- May face resistance from stakeholders
- Can be less effective without data support
- Requires ongoing education to stay current with trends
Best fit: Corporations or organizations looking to enhance their sustainability initiatives.
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The Data Analyst
Data analysts in environmental science utilize statistical tools and GIS to interpret complex datasets, informing research and policy decisions.
Strengths
- Proficient in data analysis and interpretation
- Strong knowledge of GIS applications
- Ability to communicate technical findings
- Critical thinking and analytical skills
Weaknesses
- May lack field experience
- Could struggle with public engagement
- Potentially limited understanding of regulatory frameworks
Best fit: Consulting firms or governmental agencies focused on data-driven decision making.
Decision Intelligence
Beyond the numbers: assessing fit, risk, and realistic expectations for this career path.
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Personality Fit
Environmental scientists typically thrive with analytical, detail-oriented personalities, while those who prefer a fast-paced, high-risk work environment may clash with the methodical nature of this role.
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Risk Tolerance Required
This career generally offers a moderate risk/reward profile, with stable employment prospects but limited potential for high earnings compared to other science-related fields.
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Work-Life Reality
Work-life balance can vary; fieldwork may demand irregular hours, especially during data collection seasons, while office roles may offer more regular hours but with project deadlines that can increase pressure.
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Cognitive Demands
Professionals need to tolerate ambiguity and engage in systems thinking to understand complex environmental issues, with a significant analytical load when interpreting data and writing reports.
Feeder Degrees
Environmental Scientists come from a variety of educational backgrounds. Below are the most common degrees held by professionals in this field, ranked by median salary.
- 1GeologyBachelor's 4 yearsTop schools: Colorado School of Mines, MIT, Stanford University$87,480Median5%As fast as average
- 2ChemistryBachelor's 4 yearsTop schools: MIT, Caltech, UC Berkeley$84,680Median6%As fast as average
- 3Environmental ScienceBachelor's 4 years OnlineTop schools: Stanford University, UC Berkeley, University of Michigan$76,480Median6%As fast as average
- 4BiologyBachelor's 4 yearsTop schools: MIT, Harvard University, Stanford University$66,920Median4%As fast as average
Source Schools
Institutions whose degree programs appear most frequently among the top-ranked programs for the degrees that feed this career path.
Institutions With Strong Outcomes
Institutions with meaningful programs in Sciences, ranked by median graduate earnings 10 years after enrollment.
- 1 Massachusetts Institute of Technology MA · 96% graduate $143,372 Median earnings
- 2 Harvey Mudd College CA · 93% graduate $138,687 Median earnings
- 3 University of Health Sciences and Pharmacy in St. Louis MO · 69% graduate $137,047 Median earnings
- 4 Albany College of Pharmacy and Health Sciences NY · 68% graduate $131,426 Median earnings
- 5 California Institute of Technology CA · 94% graduate $128,566 Median earnings
- 6 Massachusetts College of Pharmacy and Health Sciences MA · 63% graduate $125,557 Median earnings
Methodology & Data Sources
Salary and growth data sourced from the Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS) and Employment Projections program. Education requirements and work context derived from O*NET. AI Resilience scores are proprietary, based on category baselines adjusted by keyword analysis of job duties against current AI capability benchmarks. Pipeline probabilities and compensation by company size are modeled estimates synthesized from executive compensation surveys and industry research. Degree and school outcome data sourced from the U.S. Department of Education College Scorecard and Opportunity Insights. Editorial intelligence sections (archetypes, risk factors, decision intelligence) are research-based assessments, not predictive models.
Data Behind This Page Updated 2025
Source datasets
Methodology
Careers are scored on five normalized axes — salary, job growth, AI resilience, education barrier, and competition — each on a 0–100 scale, with composite Future-Proof, ROI, and breadth verdicts.
See the full methodology and weights →Confidence notes
- Salary and growth figures come from federal Bureau of Labor Statistics data — administrative wage records and official projections, not surveys.
- AI-resilience scores are computed from O*NET task and work-context data, applied consistently across every occupation.
- Every measure is normalized to a fixed 0–100 scale, so careers are directly comparable.
Limitations
- BLS wage data reflect national medians; actual pay varies widely by region, employer, and experience.
- Job growth is a 2023–2033 projection, not a guarantee — labor markets shift with technology and the economy.
- AI-resilience is a directional estimate of automation exposure, not a prediction that any role will or will not be automated.
- Pipeline and compensation-by-company-size figures are modeled estimates, not measured outcomes.
