1

Environmental Science Graduate Jobs in Boston, MA

Data Scientist

Boston, MA ยท On-site

$120K - $135K/yr

Graduate degree in Data Science, Computer Science, Statistics, or a related field * Minimum ... Experience deploying models into production environments * Exposure to cloud services from AWS ...

Showing results 41-60

Environmental Science Graduate information

See Boston, MA salary details

$44.5K

$91.4K

$133.6K

How much do environmental science graduate jobs pay per year?

As of Aug 21, 2026, the average yearly pay for environmental science graduate in Boston, MA is $91,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $107,000.00 per year, depending on experience, location, and employer.

What jobs can you get with an environmental science degree?

Graduates with an environmental science degree can pursue a variety of careers, including roles such as environmental consultant, conservation scientist, environmental educator, sustainability specialist, and environmental analyst. They may work for government agencies, non-profit organizations, private companies, or research institutions. The degree provides a strong foundation in ecological principles, data analysis, and problem-solving, making graduates valuable in addressing environmental challenges and developing sustainable solutions.

What types of projects do environmental science graduates typically work on early in their careers?

As an Environmental Science Graduate, you can expect to contribute to a variety of projects such as environmental impact assessments, data collection and analysis for pollution monitoring, and fieldwork related to habitat restoration. Early-career roles often involve collaborating with multidisciplinary teams, including engineers, ecologists, and policy experts, to address real-world environmental challenges. These projects provide hands-on experience and the opportunity to develop specialized skills that can lead to advancement into research, consulting, or project management roles.

What are the key skills and qualifications needed to thrive as an environmental science graduate, and why are they important?

To thrive as an Environmental Science Graduate, you need a solid grounding in environmental principles, data analysis, and scientific research, often supported by a relevant bachelor's degree. Familiarity with GIS software, statistical tools like R or Python, and laboratory techniques is typically required. Strong communication, problem-solving, and teamwork skills help you effectively collaborate and convey scientific findings to diverse audiences. These skills are crucial for addressing complex environmental challenges and contributing meaningfully to sustainability initiatives.

What is the difference between Environmental Science Graduate vs Environmental Technician?

AspectEnvironmental Science GraduateEnvironmental Technician
Required CredentialsBachelor's degree in environmental science or related fieldAssociate degree or relevant certification, sometimes a bachelor's
Work EnvironmentResearch labs, fieldwork, data analysisField sites, laboratories, environmental monitoring
Employer & Industry UsageUniversities, research institutions, government agenciesEnvironmental consulting firms, government agencies, industrial sites
Common Search & ComparisonEntry-level roles, career development, educational backgroundTechnical roles, fieldwork, practical skills

Environmental Science Graduates typically hold a bachelor's degree and focus on research, data analysis, and environmental policy. Environmental Technicians often have an associate degree or certification and perform field sampling, monitoring, and technical tasks. Both roles are essential in environmental work, but they differ in education level, job responsibilities, and work settings.

Is graduate school worth it for environmental science?

For environmental science graduates, attending graduate school can enhance specialized knowledge, research skills, and qualifications for advanced roles or academia. However, many entry-level positions in environmental science are available with a bachelor's degree, and practical experience or certifications like GIS or environmental impact assessments can also be valuable. The decision depends on career goals and the specific requirements of desired positions.

Is it worth getting a master's in environmental science?

For environmental science graduates, obtaining a master's degree can enhance job prospects, increase earning potential, and qualify for specialized roles such as environmental consultants or policy analysts. It often provides advanced skills in data analysis, environmental modeling, and regulatory understanding, which are valued in the field.

What can I do with a master's degree in environmental science?

An environmental science graduate with a master's degree can pursue roles such as environmental analyst, conservation scientist, environmental consultant, or sustainability coordinator. These positions often require skills in data analysis, environmental regulations, and fieldwork, and may involve working for government agencies, consulting firms, or non-profit organizations.

What are popular job titles related to Environmental Science Graduate jobs in Boston, MA?

For Environmental Science Graduate jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Environmental Science Graduate jobs?

Cities near Boston, MA with the most Environmental Science Graduate job openings:

Infographic showing various Environmental Science Graduate job openings in Boston, MA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $91,503 per year, or $44 per hour.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA โ€ข On-site

Full-time

Re-posted 16 days ago


Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)