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Entry Level Climate Data Scientist Jobs in California

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

... climate/environmental informatics. Work will involve developing machine learning models that ... Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt ...

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

... climate/environmental informatics. Work will involve developing machine learning models that ... Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt ...

We are seeking a Data Scientist for this entry-level role. You will work to support the team in building ML-powered analyses and products that shape business strategy, optimize content, inform ...

We are seeking a Data Scientist for this entry-level role. You will work to support the team in building ML-powered analyses and products that shape business strategy, optimize content, inform ...

New

Data Scientist

Burbank, CA · On-site

$99 - $140/hr

We are seeking a Data Scientist for this entry-level role. You will work to support the team in building ML-powered analyses and products that shape business strategy, optimize content, inform ...

New

... 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 ...

... 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 ...

... 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 ...

... 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 ...

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Entry Level Climate Data Scientist information

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 California?

The most popular types of Climate Data Scientist jobs in California are:

What are popular job titles related to Entry Level Climate Data Scientist jobs in California?

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

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

The top searched job categories for Entry Level Climate Data Scientist jobs in California are:

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

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

Infographic showing various Entry Level Climate Data Scientist job openings in California as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

DATA SCIENTIST

IQUASAR LLC

San Diego, CA • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 10 days ago


Key responsibilities

  • Write code to extract and pre-process training data sets, handling disparate data formats and APIs.

  • Research, select, and develop appropriate ML/DL algorithms and models to tackle AI problems across various data domains.

  • Work alongside other AI/ML and DevOps engineers to establish automated AI workflows that continuously provide inferences and predictions.


Job description

iQuasar is seeking to fill an  Data Scientist/Machine Learning Engineerin San Diego, CA. At iQuasar, we strive to provide the next generation of cutting-edge technologies. Our growth means exciting career opportunities for talented professionals in engineering, software development, and other key areas. We offer competitive compensation and benefits, including Health, Vision, and Dental Insurance, a matching 401 (k) plan, and other benefits given below, excellent training, and a vibrant working environment. Our employees are exceptional, giving us a competitive advantage by innovating solutions with a strong sense of mission and integrity.
One of our clients in San Diego, CA, needs a  Data Scientist for a full-time position.
Position: Data Scientist (Machine Learning Engineer)
Location: San Diego, CA
Clearance Level: Secret

JOB DESCRIPTION:
iQuasar is seeking a highly motivated Data Scientist/Machine Learning Engineer to join our dynamic AI team. In this role, you will leverage machine learning algorithms and software engineering skills to contribute to diverse AI-based projects related to resource planning for ship maintenance, marine transportation, and climate/environmental informatics. Work will involve developing machine learning models that deliver predictive insights and analytics for robust, web-based full-stack AI applications spanning both government (DoD, DoT, NOAA, etc.) and commercial domains.
Responsibilities:
  • Write code to extract and pre-process training data sets, handling disparate data formats and APIs.
  • Research, select, and develop appropriate ML/DL algorithms and models to tackle AI problems across disparate data domains (Navy, Transportation, Environmental Sciences, Healthcare, Public Safety, etc.).
  • Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt engineering, computer vision, and NLP tools.
  • Work alongside other AI/ML and DevOps engineers to establish automated AI workflows that continuously provide inferences/predictions.
  • Develop validation and test routines to measure and evaluate the quality of predictions.
Required Qualifications
  • 2+ years' programming experience in Python
  • Completed coursework in Machine Learning, Deep Learning, Algorithm Design, and Data Science
  • Knowledge of Python libraries such as Pandas, scikit-learn, Keras, TensorFlow, and/or PyTorch
  • Good understanding of databases and API-based data ETL operations
  • Strong knowledge of Linux or Unix-like OS.
  • Excellent coding skills in Python, ability to handle and analyze large data sets/streams, and familiarity with web frameworks such as Fast API, Django and Flask.
  • Experience handling git repositories.
  • US citizenship and the ability to obtain and maintain a final DoD adjudicated Secret Clearance
Preferred Qualifications
  • Strong knowledge of DevOps tools and practices.
  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with agile development methodologies and continuous integration/continuous deployment (CI/CD) pipelines.
  • Proficiency in MS Office Applications
  • Strong written and oral communication skills
  • Attention to detail, procedural compliance, and the ability to manage multiple duties simultaneously while meeting deadlines
  • Experience working in Agile environments
  • DoD adjudicated secret clearance
EDUCATION: 
  • Bachelor's degree (Master's degree preferred) in Computer Science/Engineering/Data Science or other STEM related discipline.