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Entry Level Climate Data Scientist Jobs in Boston, MA

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA · On-site

$72K - $212K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Boston, MA · On-site

$99K - $232K/yr

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Polluxa, Inc.

Entry Level Data Architect - VHB

Watertown, MA · On-site

$80 - $100/hr

ABOUT THE POSITION VHB is seeking a talented entry-level Data Architect to join our data team. This ... Bachelor's degree in computer science, Information Systems, Data Science, Engineering, or a related ...

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All JobsClimate Data Scientist JobsEntry Level Climate Data Scientist JobsEntry Level Climate Data Scientist Jobs in Boston, MA

Entry Level Climate Data Scientist information

See Boston, MA salary details

$50K

$179.3K

$264.5K

How much do entry level climate data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for entry level climate data scientist in Boston, MA is $179,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,000.00 and $184,700.00 per year, depending on experience, location, and employer.

What does an entry level climate data scientist do?

An Entry Level Climate Data Scientist collects, processes, and analyzes environmental and climate data to help solve problems related to climate change. They use statistical and computational tools to interpret large datasets, create models, and generate insights for researchers, policymakers, and organizations. Their work supports efforts to understand weather patterns, predict climate trends, and develop strategies for sustainability. Often, they collaborate with teams and use programming languages like Python or R to organize and visualize data.

What are some typical projects or tasks that an entry level climate data scientist might work on during their first year?

As an entry level climate data scientist, you can expect to work on projects such as cleaning and organizing large climate datasets, running basic statistical analyses to identify trends, and helping to visualize data for reports or presentations. You might also assist in developing or refining climate models under the supervision of senior scientists, and collaborate with team members from environmental science, engineering, or policy backgrounds. Regularly, you’ll participate in team meetings to discuss project progress and share results, gaining exposure to interdisciplinary research and real-world climate solutions.

What are the key skills and qualifications needed to thrive as an entry level climate data scientist, and why are they important?

To thrive as an Entry Level Climate Data Scientist, you need a solid background in environmental science, statistics, and programming (typically with a degree in a related field). Familiarity with data analysis tools like Python, R, GIS software, and experience with climate data sets or machine learning libraries are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and present findings clearly. These skills enable accurate climate modeling and actionable insights that support impactful environmental decision-making.

What is the difference between Entry Level Climate Data Scientist vs Entry Level Environmental Data Analyst?

AspectEntry Level Climate Data ScientistEntry Level Environmental Data Analyst
Required CredentialsBachelor's in Environmental Science, Data Science, or related field; some roles prefer certifications in data analysis or climate modelingBachelor's in Environmental Science, Data Analysis, or related field; certifications in data analysis are common
Work EnvironmentResearch institutions, government agencies, climate-focused organizationsEnvironmental consulting firms, government agencies, NGOs
Employer & Industry UsageUsed in climate modeling, policy analysis, and research projectsApplied in environmental impact assessments, data reporting, and compliance

Both roles involve analyzing environmental data, but Climate Data Scientists focus more on climate models and predictive analytics, while Environmental Data Analysts handle broader environmental datasets and reporting. The roles often overlap in skills and work environments, making them common comparison points for entry-level professionals in the environmental sector.

What are the most commonly searched types of Climate Data Scientist jobs in Boston, MA?

The most popular types of Climate Data Scientist jobs in Boston, MA are:

What are popular job titles related to Entry Level Climate Data Scientist jobs in Boston, MA?

For Entry Level Climate Data Scientist jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Entry Level Climate Data Scientist jobs in Boston, MA look for?

The top searched job categories for Entry Level Climate Data Scientist jobs in Boston, MA are:

What cities near Boston, MA are hiring for Entry Level Climate Data Scientist jobs?

Cities near Boston, MA with the most Entry Level Climate Data Scientist job openings:

Entry Level Climate Data Scientist jobs near you
Infographic showing various Entry Level Climate Data Scientist job openings in Boston, MA as of August 2026, with employment types broken down into 5% Internship, 85% Full Time, 5% Temporary, and 5% Contract. Highlights an 80% In-person, 15% Hybrid, and 5% Remote job distribution, with an average salary of $179,276 per year, or $86.2 per hour.

Data Scientist II / Senior Data Scientist, Life Sciences

Lila Sciences

Cambridge, MA • On-site

Full-time

Posted 4 days ago

Job description

Your Impact at LILA

Lila Sciences is building the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by applying AI to every aspect of the scientific method, enabling scientists to solve challenges in human health, climate, and sustainability at a pace and scale not previously possible.

At Lila, teams are deeply cross-functional and collaborative. We seek people with inclusive mindsets, diverse perspectives, and comfort working in creative, fast-moving environments. If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, we encourage you to apply.

We are seeking a Data Scientist, Life Sciences to join Life Sciences AI Data Science (LSAI-DS) and own the bridge between wet-lab science, software engineering, automation, and AI. This person will turn experimental data into actionable scientific insight, translate bench workflows into validated analytical requirements, and build reproducible analysis patterns that scale across life sciences programs.

This role is ideal for someone who combines life sciences depth, strong Python-based analysis skills, applied statistics, and user-centered thinking. You will work closely with scientists, automation experts, software engineers, and ML engineers to make sure data flows, analyses, and tools reflect what is actually happening at the bench.

What You'll Be Building

  • Own requirements discovery across lab, automation, software, and AI teams.
  • Translate experimental and operational questions into well-scoped analyses.
  • Develop bioinformatics and data-processing pipelines for raw assay outputs.
  • Build reusable analysis modules that improve reproducibility across studies.
  • Integrate analytical workflows with centralized data lake and AI platform systems.
  • Identify gaps in LIMS flows, data management, and automation workflows.
  • Document methods, assumptions, and results for technical and scientific audiences.

What You'll Need to Succeed

  • Strong background in biological sciences, life sciences data, or bioinformatics.
  • Strong Python proficiency for scientific data analysis, including pandas, numpy, and scipy.
  • Solid grounding in applied statistics and exploratory data analysis.
  • Experience eliciting, documenting, and validating requirements from scientific and technical stakeholders.
  • Ability to identify unstated assumptions and clarify ambiguous analytical requests.
  • Experience producing reproducible, well-documented analyses.
  • Strong communication skills with both technical collaborators and bench scientists.
  • Proactive, detail-oriented approach to ambiguous scientific problems.

Bonus Points For

  • Experience working with lab automation platforms or instrument data systems.
  • Familiarity with common bioinformatics tools
  • Experience with workflow orchestrators such as Flyte or Temporal.
  • Knowledge of modern Python developer tools such as pydantic, pyright, or uv.
  • Familiarity with AWS fundamentals and containerized workflows, including Docker or Kubernetes.

Apply