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Entry Level Climate Data Scientist Jobs (NOW HIRING)

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

Overview Lynker Corporation is a leading provider of innovative solutions in weather and climate ... Responsibilities Duties of the Environmental Data Scientist will include the following: * Data ...

Experience with data science methods related to data architecture, data cleaning, data and feature ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, and Data analysts/Data Scientists. We welcome candidates with all visas and citizens to apply.

Experience with data science methods related to data architecture, data cleaning, data and feature ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, and Data analysts/Data Scientists. We welcome candidates with all visas and citizens to apply.

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 ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

Data Scientist

Manhattan, NY · On-site

$88K - $110K/yr

Data Scientist Hybrid in New York Must work W2 - Cannot provide sponsorship! Description Deal ... Entry Level Job Type & Location This is a Permanent position based out of New York, NY. Pay and ...

Conduct data exploration on datasets, QA/QC, visualization, statistical and data analyses, and ... Sciences, Climate or Environmental Science. Equipped with deep knowledge of statistical analysis ...

Showing results 21-40

Entry Level Climate Data Scientist information

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$46K

$165K

$243.5K

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

As of Sep 4, 2026, the average yearly pay for entry level climate data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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.

More about Entry Level Climate Data Scientist jobs

What cities are hiring for Entry Level Climate Data Scientist jobs?

Cities with the most Entry Level Climate Data Scientist job openings:

What are the most commonly searched types of Climate Data Scientist jobs?

The most popular types of Climate Data Scientist jobs are:

What states have the most Entry Level Climate Data Scientist jobs?

States with the most job openings for Entry Level Climate Data Scientist jobs include:

Infographic showing various Entry Level Climate Data Scientist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist, Entry Level

Naval Nuclear Laboratory

Niskayuna, NY • On-site

$70K - $108K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Naval Nuclear Laboratory rating

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

4th of 49 rated military and defense


Job description

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description The Digital Strategic Development unit is seeking a highly motivated Data Scientist to join the Digital Strategic Development team. This team is responsible for leading the development and deployment of innovative solutions for existing and future instrumentation and control (I&C) systems on US Navy aircraft carriers and submarines. Specific areas of interest include incorporating artificial intelligence and machine learning, model-based engineering, and automation into existing processes. The successful candidate will work with multi-disciplined teams to: • Implement innovative, data driven solutions to improve development of I&C systems • Support the integration of AI/ML models into software applications and processes • Consult on AI/ML use case best practices and future needs • Support preparation of justifications, specifications, and plans to support project execution, including procurement activities • Apply new analysis methods, technologies, and/or concepts • Develop process controls and procedures • Assume the coordination responsibilities for assigned technical projects Required Combination of Knowledge and Skill Bachelors degree from an accredited college or university in a related engineering or science field; or Masters degree from an accredited college or university in a related engineering or science field. Preferred Skills Preffered degrees of Data Science or Computer Engineering areas Programming experience in Python and/or C++ Working knowledge of on-premises solutions Experience with agentic LLM frameworks and MCP servers for integrating AI agents. Experience applying AI/ML capabilities to improve existing processes, weighing potential risks and mitigations Experience building or maintaining CI/CD pipelines Experience using large language models and other AI applications Working knowledge of DevSecOps principles Working knowledge of cybersecurity principles, with a preference to applying cybersecurity to AI/ML Strong verbal and written communication skills Strong attention to detail and organizational skills Experience with technical writing Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $70,900.00 - $108,500.00 annually Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.

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