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Entry Level Climate Data Scientist Jobs in New York

Design, solve, and review advanced environmental science problems with real-world relevance and scientific rigor * Apply your expertise in climate modeling, ecology, sustainability, or related ...

... scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems Assess project requirements and develop data ...

Data Engineer - Entry Level

Manhattan, NY · On-site

$126.20K - $151.60K/yr

... entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data ... Recent computer science/engineering/mathematics/statistics or science graduates looking to make ...

... entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data ... Recent computer science/engineering/mathematics/statistics or science graduates looking to make ...

Cloud Data Engineer (Entry-level)

Manhattan, NY · On-site

$126.20K - $151.60K/yr

... entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data ... Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make ...

... for entry-level software programmers, Java full stack developers, Python/Java developers, data ... Recent computer science/engineering/mathematics/statistics or science graduates or people looking ...

... for entry-level software programmers, Java full stack developers, Python/Java developers, data ... Recent computer science/engineering/mathematics/statistics or science graduates or people looking ...

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Entry Level Climate Data Scientist information

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 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 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 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 New York? The most popular types of Climate Data Scientist jobs in New York are:
What are popular job titles related to Entry Level Climate Data Scientist jobs in New York? For Entry Level Climate Data Scientist jobs in New York, the most frequently searched job titles are:
What job categories do people searching Entry Level Climate Data Scientist jobs in New York look for? The top searched job categories for Entry Level Climate Data Scientist jobs in New York are:
What cities in New York are hiring for Entry Level Climate Data Scientist jobs? Cities in New York with the most Entry Level Climate Data Scientist job openings:
Infographic showing various Entry Level Climate Data Scientist job openings in New York as of May 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 92% Physical, and 8% Remote job distribution.

Climate Data Specialist

Alignerr

Manhattan, NY • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.


Job description

Climate Data Specialist (AI Training)
About the Role
What if your expertise in climate modeling, ecology, or sustainability could directly shape how AI understands one of the most critical fields of our time? We're looking for environmental science experts to help build and train cutting-edge AI models - developing complex, real-world problems that push the boundaries of what AI can reason through.
This is a fully remote, flexible contract role designed for Masters and PhD-level scientists who want to put their deep domain knowledge to work on something genuinely impactful.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Design, solve, and review advanced environmental science problems with real-world relevance and scientific rigor
  • Apply your expertise in climate modeling, ecology, sustainability, or related disciplines to create complex, nuanced problem sets
  • Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning
  • Evaluate the quality, clarity, and scientific depth of AI-generated outputs in your area of expertise
  • Ensure accuracy and intellectual integrity across all deliverables
Who You Are
  • Master's or PhD in Environmental Science, Climate Science, Ecology, or a closely related field
  • Strong expertise in at least one of: climate modeling, ecology, sustainability, or environmental data analysis
  • Proficient in Python or R for research, data analysis, or modeling
  • Exceptional written communicator - you can explain complex science clearly and precisely
  • Naturally detail-oriented with a rigorous, methodical approach to scientific problems
  • Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand
Nice to Have
  • Prior experience with data annotation, data quality review, or AI evaluation workflows
  • Background in quantitative environmental modeling or large-scale ecological datasets
  • Experience writing or reviewing scientific literature or technical documentation
  • Familiarity with AI tools or machine learning concepts as an end user
Why Join Us
  • Work on cutting-edge AI projects alongside leading research labs
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task-based work
  • Apply your scientific expertise to a domain where it creates lasting, tangible impact
  • Potential for ongoing work and contract extension as new projects launch