Intelligence Brief Engineering Sector
Materials Scientist
Materials scientists study and develop materials to create new products or enhance existing ones. They work in various industries, including manufacturing, aerospace, and electronics, focusing on the properties and appli…
- $100,830
- Median salary
- 5%
- Projected growth
- 47/100
- Difficulty
- Bachelor's
- Min. education
Executive Summary
- Materials Scientist scores 53/100 (C), reflecting a challenging profile relative to other careers.
- Median salary of $100,830 reflects competitive earning potential.
- Projected growth of 5% is below the national average.
- AI resilience score of 72 suggests low automation risk — the role requires human judgment that AI cannot easily replicate.
Materials Scientist scores 53/100 — C. The strongest dimension is salary (50/100), followed by remote potential (40/100). The biggest challenge: job growth (18/100).
Research Insights
- At Risk
Future-proof
Materials Scientist faces significant headwinds for long-term viability (49/100). Projected growth of 5% is below the national average. Professionals should develop differentiated skills that AI cannot easily replicate.
Score 49 /100 - Moderate
Social Mobility
Materials Scientist offers moderate social mobility potential (46/100). Earnings are competitive, but the path is accessible with the right credentials.
Score 46 /100 - Below Average
Long-Term Outcomes
Materials Scientist faces headwinds for long-term positive outcomes (46/100). 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 46 /100
Economic Importance
Materials scientists play a crucial role in developing new materials that drive innovation in various industries, including aerospace, automotive, and electronics. Their work directly impacts product performance and sustainability, influencing both economic growth and environmental stewardship.
Role Analysis
What a Materials Scientist Does
Materials scientists study and develop materials to create new products or enhance existing ones. They work in various industries, including manufacturing, aerospace, and electronics, focusing on the properties and applications of materials such as metals, ceramics, and polymers.
Those who thrive in this role often have strong analytical skills and a passion for problem-solving. They enjoy working in laboratories and may spend time in manufacturing environments, collaborating with engineers and other scientists to innovate and improve materials for specific applications.
A Day in the Life
- Conduct experiments to develop new materials or improve existing ones.
- Analyze material properties using various testing methods.
- Collaborate with engineers to design materials for specific applications.
- Prepare technical reports and presentations to communicate findings.
- Stay updated on industry trends and advancements in material science.
- Perform quality control and ensure materials meet required specifications.
- Utilize computer simulations to predict material behavior.
Compensation Structure
By Experience Level
- Entry level
- $60,000 - $75,000
- Mid-career
- $80,000 - $105,000
- Senior / experienced
- $105,000 - $130,000
By Company Size
| Company | Base | Bonus | Equity | Total |
|---|---|---|---|---|
| Small business / Startup | $60,000 - $75,000 | $2,000 - $5,000 | $0 - $10,000 | $62,000 - $80,000 |
| Mid-market | $80,000 - $105,000 | $5,000 - $10,000 | $0 - $15,000 | $85,000 - $130,000 |
| Large corporate | $100,000 - $130,000 | $10,000 - $20,000 | $5,000 - $20,000 | $115,000 - $170,000 |
| Enterprise / Public company | $110,000 - $140,000 | $15,000 - $25,000 | $10,000 - $30,000 | $135,000 - $195,000 |
Compensation typically increases with company size, reflecting a greater ability to invest in talent and offer competitive packages. Larger organizations often provide more substantial bonuses and equity options.
Outlook · 5% growth
The demand for materials scientists is driven by advancements in technology and the need for innovative materials in various sectors. The projected 5% job growth indicates steady opportunities, particularly as industries seek to develop more efficient and sustainable materials.
Career Pathways
The trajectory to Materials 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 Graduate Education → Build a Professional Network → Stay Current with Industry Trends → Target Role: Senior Materials Scientist- Timeline
- 5-10 years
- Advancement probability
This path is effective for those who pursue further education and actively engage in networking opportunities.
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Industry Transition
Earn a Bachelor's Degree → Gain Relevant Experience in a Related Field → Upskill in Materials Science → Network with Industry Professionals → Target Role: Materials Scientist- Timeline
- 3-7 years
- Advancement probability
Transitioning from a related field requires strategic upskilling and networking to make a successful shift into materials science.
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Research-Focused Path
Earn a Bachelor's Degree → Pursue a Master's or PhD → Conduct Research in Academia or Industry → Publish Findings → Target Role: Lead Research Scientist- Timeline
- 8-12 years
- Advancement probability
This pathway is ideal for those committed to academia or advanced research roles, as publishing and networking are critical.
Skill Stack
The Materials 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
- Analytical thinking
- Basic laboratory techniques
- Materials characterization
- Technical writing
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Intermediate
- Data analysis software (e.g., MATLAB, Python)
- Project management
- Collaboration and teamwork
- Problem-solving
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Advanced
- Advanced materials characterization
- Regulatory compliance knowledge
- Interdisciplinary project leadership
- Innovative research methodologies
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Differentiating
Differentiator- Expertise in sustainable materials
- Strong networking abilities
- In-depth knowledge of industry trends
- Proficiency in commercialization strategies
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.
Moderate earning potential
Below-average growth
Moderate education barrier
Limited remote options
Moderate competition
Career Difficulty Score
47/100
Materials Scientist offers limited remote work options.
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.
- Requires complex human judgment and cross-disciplinary problem-solving that AI cannot replicate.
- Domain expertise and contextual decision-making create a moat against full automation.
- Limited risk: Routine analytical or documentation tasks may be partially automated.
AI Verdict
Materials Scientist ranks highly for AI resilience. The role demands complex human judgment, specialized expertise, or physical presence that AI cannot easily replicate. Professionals who stay current with AI tooling in their domain will remain in strong demand.
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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Insufficient practical experience can limit the ability to translate theoretical knowledge into real-world applications.
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A lack of networking can hinder opportunities for collaboration and career advancement.
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Staying current with rapidly changing technologies and materials is essential; failure to do so can lead to obsolescence.
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Overemphasis on research without consideration for commercial viability may restrict career growth.
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Poor project management skills can lead to missed deadlines and budget overruns, affecting reputation.
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Inadequate communication skills can result in misunderstandings with stakeholders and team members.
Materials Scientist Archetypes
There is no single profile for a Materials Scientist. Professionals reach this role through different backgrounds, each bringing distinct strengths and limitations.
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The Research Innovator
This archetype focuses on discovering and developing novel materials through experimental research and theoretical modeling.
Strengths
- Strong analytical skills
- Expertise in laboratory techniques
- Innovative problem-solving
- Ability to collaborate with interdisciplinary teams
Weaknesses
- Limited industry experience
- May struggle with practical applications
- Potentially narrow focus on research without commercialization
Best fit: Research institutions or R&D departments within larger corporations
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The Quality Assurance Specialist
This archetype ensures that materials meet specific standards and regulations, emphasizing quality control and safety.
Strengths
- Attention to detail
- Strong understanding of materials characterization
- Ability to implement testing protocols
- Proficient in data analysis software
Weaknesses
- May lack creative problem-solving skills
- Can be risk-averse
- Limited scope for innovation
Best fit: Manufacturing companies or regulatory agencies
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The Project Manager
This archetype oversees projects related to material development, coordinating teams and resources to meet project goals.
Strengths
- Strong organizational skills
- Effective communication
- Ability to manage budgets
- Skilled in stakeholder engagement
Weaknesses
- May prioritize management over technical skills
- Risk of becoming disconnected from technical details
- Can face challenges in conflict resolution
Best fit: Mid to large-sized organizations with complex project requirements
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The Sustainability Advocate
This archetype focuses on developing eco-friendly materials and processes, advocating for sustainable practices in the industry.
Strengths
- Passion for environmental issues
- Knowledge of sustainable materials
- Ability to engage with stakeholders
- Innovative thinking towards waste reduction
Weaknesses
- May face resistance from traditional industries
- Can struggle with cost-benefit analyses
- Potentially limited knowledge of conventional materials
Best fit: Companies focused on sustainability or non-profit organizations
Decision Intelligence
Beyond the numbers: assessing fit, risk, and realistic expectations for this career path.
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Personality Fit
Individuals who thrive in this role often possess strong analytical skills and a passion for problem-solving, while those who prefer routine and structured tasks may find it challenging.
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Risk Tolerance Required
Materials scientists generally operate in a moderate risk environment, where innovative projects carry potential rewards alongside the possibility of failure.
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Work-Life Reality
Work-life balance can vary, with some roles requiring long hours in the lab or during project deadlines, potentially leading to high-pressure situations.
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Cognitive Demands
This career demands high levels of analytical thinking and systems thinking, with professionals needing to tolerate ambiguity in research and development.
Feeder Degrees
Materials Scientists come from a variety of educational backgrounds. Below are the most common degrees held by professionals in this field, ranked by median salary.
- 1PhysicsBachelor's 4 yearsTop schools: MIT, Caltech, Stanford University$142,850Median5%As fast as average
- 2Chemical EngineeringBachelor's 4 yearsTop schools: MIT, Stanford University, Caltech$106,260Median8%Faster than average
- 3ChemistryBachelor's 4 yearsTop schools: MIT, Caltech, UC Berkeley$84,680Median6%As fast as average
Institutions With Strong Outcomes
Institutions with meaningful programs in Sciences, Engineering, 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 Franklin W Olin College of Engineering MA · 94% graduate $129,455 Median earnings
- 6 California Institute of Technology CA · 94% graduate $128,566 Median earnings
Where Materials Scientists Get Hired
Graduates who become Materials Scientists frequently land at employers like Amazon, Microsoft, Apple and Google. Each profile below shows the schools that feed it, the degrees that lead there, and its current hiring momentum.
Amazon
Technology · Technology
Microsoft
Technology
Apple
Technology
Technology
Dell
Technology
Adobe
Technology
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.
