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Entry Level Computer Science Environmental Jobs in Boston, MA

... environments. If you want to build technology with measurable impact on how the world grows food ... MS or PhD in Computer Science, Engineering, Statistics, Mathematics, Physics, or related field (or ...

We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join the Harvard Faculty of Arts and Sciences? The Faculty of Arts and Sciences (FAS) is the historic ...

We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join the Harvard Faculty of Arts and Sciences? The Faculty of Arts and Sciences (FAS) is the historic ...

Computational Materials Scientist

Woburn, MA · On-site +1

$180K - $200K/yr

Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. * Significant opportunities for ...

... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ... Adapts instruction using interactive coding environments, visual debugging tools, and scaffolded ...

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Entry Level Computer Science Environmental information

See Boston, MA salary details

$13

$23

$37

How much do entry level computer science environmental jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for entry level computer science environmental in Boston, MA is $23.90, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $27.40 per hour, depending on experience, location, and employer.

What is an entry level computer science environmental job?

Entry level computer science environmental jobs are positions that combine foundational computer science skills with a focus on environmental issues. These roles may include tasks such as data analysis for climate research, developing software tools for environmental monitoring, or working on sustainability projects that leverage technology. Often, such positions are found in government agencies, non-profits, research institutions, or private companies with environmental initiatives. Typical job titles might include environmental data analyst, GIS technician, or software developer for environmental applications. These roles are ideal for recent graduates looking to start a career at the intersection of technology and environmental science.

What are the key skills and qualifications needed to thrive as an entry level computer science environmental professional?

To thrive as an Entry Level Computer Science Environmental professional, you need a bachelor's degree in computer science, environmental science, or a related field, along with foundational knowledge in programming and environmental data analysis. Familiarity with tools such as GIS software, Python or R for data modeling, and environmental databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills are important soft skills for collaborating on multidisciplinary projects and interpreting data. These abilities enable professionals to develop technology-driven solutions for environmental challenges, ensuring accurate data management and impactful results.

What are some typical projects an entry level computer science environmental professional might work on?

As an entry-level computer science professional in the environmental sector, you may work on projects such as developing data collection and analysis tools for monitoring air or water quality, automating environmental data processing workflows, or assisting in the creation of web dashboards for visualizing climate or pollution data. You’ll often collaborate with environmental scientists, engineers, and policy experts to ensure your technical solutions align with real-world environmental goals. These roles provide excellent opportunities to gain experience in both software development and environmental science, setting a strong foundation for career growth.

What is the difference between Entry Level Computer Science Environmental vs Entry Level Data Analyst?

AspectEntry Level Computer Science EnvironmentalEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Environmental Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentEnvironmental agencies, tech firms focusing on environmental data, research labsBusiness, finance, healthcare, and tech companies analyzing data
Industry UsageEnvironmental monitoring, conservation projects, tech solutions for environmental issuesData-driven decision making across various industries

Entry Level Computer Science Environmental roles focus on applying computer science skills to environmental issues, often involving data collection and analysis related to environmental factors. Entry Level Data Analysts primarily analyze data to support business decisions across multiple industries. While both roles require strong analytical skills and a background in relevant fields, their focus areas and typical employers differ significantly.

What are the most commonly searched types of Computer Science Environmental jobs in Boston, MA?

The most popular types of Computer Science Environmental jobs in Boston, MA are:

What are popular job titles related to Entry Level Computer Science Environmental jobs in Boston, MA?

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

What job categories do people searching Entry Level Computer Science Environmental jobs in Boston, MA look for?

The top searched job categories for Entry Level Computer Science Environmental jobs in Boston, MA are:

What cities near Boston, MA are hiring for Entry Level Computer Science Environmental jobs?

Cities near Boston, MA with the most Entry Level Computer Science Environmental job openings:

Infographic showing various Entry Level Computer Science Environmental job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $49,713 per year, or $23.9 per hour.

Lead, Data Scientist - Decision Sciences Identity Team

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


Key responsibilities

  • Contribute to data science and machine learning research and development projects.

  • Implement and optimize algorithms in distributed environments to develop scalable identity solutions.

  • Collaborate with engineering and product teams to translate research into production technologies.


Job description

Company Description
Overview
Epsilon's Decision Sciences Identity (DSI) team seeks a PhD-level Lead Research Scientist to advance the Identity Resolution Platform that powers real-time digital marketing at internet scale. You will contribute to research and development initiatives that expand identity capabilities across Epsilon's marketing businesses, transforming novel ideas into production technologies with measurable business impact.
This role sits at the core of Epsilon's identity platform, tackling complex, ambiguous problems using large-scale data. Working closely with engineering and product teams, you will apply analytical rigor, creativity, and strong computer science fundamentals to develop scalable identity solutions that improve marketing performance for leading brands.
Responsibilities
  • Individually contribute to data science and machine learning R&D projects
  • Use data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems
  • Contribute to projects from early-stage research through development
  • Implement and optimize innovative algorithms in distributed environments
  • Develop an understanding of Epsilon personalization platform and proprietary datasets
  • Participate fully in our collaborative approach to research and applications projects

Qualifications
Qualifications
  • Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, Economics, Physics, Chemistry, Operations Research, or related quantitative field
  • Research experience and coursework in Machine Learning
  • Strong understanding of statistical, analytical, and predictive modeling techniques
  • Strong Python programming skills and experience with data structures, algorithms, and production-quality code development
  • 2+ years of relevant programming experience through academic research, internships, or industry work
  • Ability to code independently without AI as well as effectively leverage AI-assisted development tools
  • Proven ability to design, execute, and deliver research projects
  • Excellent communication and interpersonal skills, including ability to translate complex technical concepts for non-technical audiences
  • Self-motivated, highly organized, and collaborative, with the ability to manage multiple priorities in highly collaborative, team-oriented environments

Additional, But Not Required Skills
  • Experience with graphs/networks and unsupervised clustering algorithms (community detection on graphs)
  • Experience working with large, complex datasets in research or production environments
  • Experience with distributed computing and large-scale data processing (Spark, Hadoop, Databricks, cloud databases)
  • Experience with cloud platforms and data ecosystems (AWS, S3, Databricks)
  • Proficiency in SQL, Scala, Spark libraries, and advanced database querying
  • Familiarity with LLMs, Generative AI, and agentic frameworks
  • Experience in one or more advanced domains: Community Detection on Graphs, Unsupervised Learning, NLP, Information Retrieval, Mathematical Optimization, Control Theory, Time-Series Analysis, or Causal Inference
  • Ability to partner with business and technical collaborators to deploy algorithms into production platforms
  • Experience translating research innovations into scalable, customer-facing products
  • Additional research experience in computational fields such as data science, AI/ML, statistics, computer science, or graph algorithms

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.
Additional Information
When you join Epsilon, we'll create something EPIC together. We're a global leader in data and identity, with deep expertise in digital media, clean rooms, customer data platforms, loyalty and marketing services. Positioned at the center of Publicis Groupe, Epsilon helps brands deliver personalized experiences at scale and build lasting customer relationships by unlocking the full potential of data and identity. Epsilon operates in 30+ countries across EMEA, the Americas and APAC, with more than 8,000 employees.
Check out a few of these resources to learn more about what makes Epsilon so EPIC:
Our Culture: https://www.epsilon.com/us/about-us/our-culture-epsilon
Life at Epsilon: https://www.epsilon.com/us/about-us/epic-blog
Epsilon has five values that define our culture and guide us as we create value for our clients, our people and consumers. We seek candidates who align with our company values, demonstrate them and make them meaningful in their day-to-day work:
  • Act with integrity. We are transparent and have the courage to do the right thing.
  • Work together to win together. We believe collaboration is the catalyst that unlocks our full potential.
  • Innovate with purpose. We shape the market with big ideas that drive big outcomes.
  • Respect all voices. We embrace differences and foster a culture of connection and belonging.
  • Empower with accountability. We trust each other to own and deliver on common goals.

Because You Matter
As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to:
  • Time to recharge: Flexible time off (FTO), 14 paid holidays, paid sick time
  • Family well-being: Parental/new child leave, childcare & elder care assistance, adoption assistance
  • Extra perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling

Epsilon benefits are subject to eligibility requirements and other terms.
Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants who need accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.
For San Francisco Bay and Los Angeles Areas: Epsilon will consider qualified applicants with criminal histories for employment in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.
#LI-IP1
 
Compensation Range: USD $87,100.00 - USD $173,700.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/7/2026.