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Climate Modelling Jobs in California (NOW HIRING)

Train Control Expert

Sacramento, CA · On-site

$165K - $205K/yr

We create and operate intelligent infrastructure and buildings that both respond to the climate ... Expertise in data modelling and standards (UML, SysML, XML, JSON) * Knowledge of real-time data ...

We create and operate intelligent infrastructure and buildings that both respond to the climate ... Expertise in data modelling and standards (UML, SysML, XML, JSON) * Knowledge of real-time data ...

... radiometric, and modelling, test, and analysis methods. * Excellent verbal and written ... Our infrared sensors are "Everywhere You Look" - from the James Webb Space Telescope to climate ...

Train Control Expert

Sacramento, CA · Hybrid

$165K - $205K/yr

We create and operate intelligent infrastructure and buildings that both respond to the climate ... Expertise in data modelling and standards (UML, SysML, XML, JSON) * Knowledge of real-time data ...

Epitaxy Growth Engineer

Camarillo, CA · On-site

$90K - $121K/yr

... radiometric, and modelling, test, and analysis methods. * Excellent verbal and written ... Our infrared sensors are "Everywhere You Look"™ - from the James Webb Space Telescope to climate ...

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Climate Modelling information

What is climate modelling?

Climate modelling is the use of computer-based mathematical models to simulate the Earth's climate system, including the atmosphere, oceans, land surface, and ice. These models help scientists understand past, present, and future climate conditions by analyzing interactions between various components of the climate. Climate models are essential tools for predicting future climate changes, assessing the impact of human activities, and informing policy decisions related to climate change mitigation and adaptation.

What are some typical collaborative projects that climate modellers work on with other scientists?

Climate modellers frequently collaborate with meteorologists, oceanographers, data scientists, and policy experts to create comprehensive simulations and forecasts. These joint projects might include developing regional climate impact assessments, evaluating mitigation strategies, or contributing to international reports like those from the IPCC. Working in interdisciplinary teams allows climate modellers to integrate diverse data sets and perspectives, enhancing the accuracy and relevance of their models. Collaboration is essential for translating complex climate data into actionable insights for stakeholders and policymakers.

What are the key skills and qualifications needed to thrive as a Climate Modeller, and why are they important?

To thrive as a Climate Modeller, you need a strong background in atmospheric sciences, mathematics, and programming, typically supported by an advanced degree in climate science, meteorology, or a related field. Proficiency with climate modelling software (such as WRF or CESM), data analysis tools (like Python, MATLAB, or R), and experience with high-performance computing environments are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex model outputs into actionable insights. These skills and qualities are crucial for producing accurate climate projections that inform policy decisions and scientific understanding.

What is the difference between Climate Modelling vs Climate Data Analysis?

AspectClimate ModellingClimate Data Analysis
Required CredentialsBachelor's or Master's in Environmental Science, Meteorology, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentResearch labs, universities, government agencies; computational and simulation workData centers, research institutions, consulting firms; data processing and interpretation
Employer & Industry UsageClimate research, environmental agencies, academiaEnvironmental consulting, research, policy analysis

Climate Modelling involves creating simulations to predict climate patterns using complex models, while Climate Data Analysis focuses on interpreting existing climate data to identify trends and insights. Both roles require strong analytical skills but differ in their approach—modeling emphasizes simulation, whereas data analysis emphasizes data interpretation.

Infographic showing various Climate Modelling job openings in California as of July 2026, with employment types broken down into 78% Full Time, 18% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Safety Manager

Interstate Personnel Service

Montebello, CA • On-site

Full-time

Re-posted 12 days ago


Job description

Job Title: Safety Manager OR HSE Manager AND (Food or Gourmet or Snak or Snacks or Beverage)


Location: 3 manufacturing facilities: 2 in Montebello and 1 in Santa Fe Springs


EDUCATION and/or EXPERIENCE

• Minimum of a Bachelor’s degree in Environmental Health & Safety, Safety Management or

equivalent experience.

• 7+ years of hands-on safety management experience in manufacturing environment

(preferably in the food manufacturing industry)

• Proven successful records in driving safety vision change and culture shift modelling

• Safety certification is a plus e.g. Certified Safety Professionals (CSP)

• Bilingual in English-Chinese or English-Spanish is highly preferred

• Strong administrative, recordkeeping, regulatory information, and follow up skills required

• Occasional working schedule during evening shifts and weekends as needed

• Strong working knowledge of Cal-OSHA and Federal OSHA regulations is required.

• Ability to understand, promote, support and drive for safety vision change and culture

shift modelling.

• Ability to interpret and be the main point of contact for OSHA and other federal/state

regulation related responsibilities

• Ability to lead and/or facilitate team meetings such as Safety Committee meetings

• Ability to work in a fast-paced manufacturing environment

• Must have a strong sense of ownership and accountability

• Good multi-tasking, organizational and time management skills

• Working knowledge of MS Office products (Word, Excel and PowerPoint)

• Knowledge of warehouse and manufacturing equipment operation

• Ability to maintain high proficiency while working in a non-climate-controlled environment