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Entry Level Climate Data Scientist Jobs (NOW HIRING)

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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 Jun 12, 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 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 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.
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:
Junior Data Scientist - Clearance Required

Junior Data Scientist - Clearance Required

Logistics Management Institute

El Segundo, CA

$69K - $118K/yr

Full-time

Posted 18 days ago


Job description

LMI is actively seeking a dynamic, Entry-level Data Scientist to join LMI’s Space Market data scientist team in Colorado Springs, CO. This role involves working directly with USSF and US Government customers, as well as analytical partners, to drive the development of responsive, high-performance user interfaces within LMI’s Modeling, Simulation, Prototyping, Wargaming, & Analysis platform, RAPTR®.

The ideal candidate is passionate about Space and interested in using data science skills to help guide USSF into the future. In this role, you will join the data science team to analyze simulations of USSF portfolios, to include supporting Guardian training. You will be assisting the data science team to create robust analysis pipelines. You’ll work with our high-tech customers to understand their technology, investment, performance, resilience, and policy questions and use this insight to craft high-performance analytical pipelines for use in workstation, server, and cloud (AWS) deployment environments. 

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.


  • Collaborate with an integrated team of data scientists, data analysts, and functional SMEs to develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results
  • Identify, propose, and assist in the development of future analytics products based on the data pipeline to assist customers in gaining value from the data products.
  • Understand and analyze complex datasets
  • Define and develop techniques to integrate, consolidate, and structure data for analytical use
  • Support the maturation of data quality
  • Transform data and analysis into informative visualizations and interactive dashboards
  • Provide regular detailed reporting to management and customers
  • Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers

Required:

  • Bachelor’s degree in science, engineering, mathematics, computer science, economics, data analytics, or other related business or quantitative discipline
  • Competency with data science/analysis coding languages like SQL, Python, or R
  • Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, or d3.js
  • Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
  • Self-starter with the vision to independently identify opportunities for improvement through data analytics
  • Ability to work in teams and independently
  • Excellent communication skills, written and oral
  • Innovative problem-solving skills and ability to thrive in a fast-paced environment
  • Active TS with SCI eligibility is required

Desired:

  • Advanced degree in Computer Science or related field.
  • Experience using python libraries to build machine learning models like regression models and decision trees
  • Experience with version control software e.g Git
  • Proficiency in either SQL (e.g., MySQL, PostgreSQL) or NoSQL (e.g., MongoDB) databases.
  • Experience with back-end technologies (Rust, Python, Java) within agile development frameworks
  • Passionate desire to make the joint warfighter world a better place with cost-effective, performant space architectures which enable operations and mission success
  • Space domain experience and familiarity with space-focused software solutions.
  • Possess a natural curiosity and desire to challenge yourself and those around you
  • Knowledge of cybersecurity best practices.
  • Active TS clearance with SCI eligibility or prior experience working on government-related projects

Target salary range: $69,986 - $118,154

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.