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Climate Research Scientist Machine Learning Jobs in Missouri

Founding Data Scientist

California, MO ยท On-site

$120 - $180/hr

Core Competencies Demonstrates expertise in data science and machine learning, with a strong focus on building and optimizing risk and prediction models. Proficient in Python and data infrastructure ...

New

Staff, Machine Learning Engineer

Cassville, MO ยท On-site

$130K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A successful candidate will have an established hands-on data science, AI, ML experience in driving ... Innovation and Research: Stay at the forefront of technological advancements, conducting research ...

Machine Learning Tutor

Kansas City, MO ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Columbia, MO ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Saint Louis, MO ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Engineer

California, MO ยท On-site

$110 - $170/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Contribute to the research, design, implementation, and testing of CV and/or AI/ML software ... A degree in Computer Science or a related field. Preferred Skills and Experience * Experience ...

Senior Data Scientist

Saint Louis, MO ยท On-site

$90 - $120/hr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Our business value and leadership has been recognized by various market research firms, including ...

Experience using commercial or open-source optimization tools such as Gurobi, Pyomo, CPLEX, etc * BS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or ...

Collaborate closely with product managers, data scientists, and backend engineers to deeply ... machine learning, operations research or equivalent self study and experience * Have strong ...

Collaborate closely with product managers, data scientists, and backend engineers to deeply ... machine learning, operations research or equivalent self study and experience * Have strong ...

(USA) Senior Director, Data Science

Noel, MO ยท On-site

$160K - $320K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Advanced degree in Statistics, Economics, Computer Science, Operations Research, Applied Mathematics, Data Science, or a related quantitative field. * Experience in data science, machine learning ...

Showing results 41-60

Climate Research Scientist Machine Learning information

What are the key skills and qualifications needed to thrive as a climate research scientist specializing in machine learning?

To thrive as a Climate Research Scientist specializing in Machine Learning, you need a solid background in climate science, statistical analysis, and advanced machine learning techniques, typically supported by a graduate degree in a related field. Experience with programming languages like Python or R, familiarity with climate modeling software, and proficiency in machine learning frameworks such as TensorFlow or PyTorch are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you explain complex findings to diverse audiences and collaborate across disciplines. These skills and qualities are crucial for advancing climate research, developing innovative solutions, and informing policy decisions based on robust data analysis.

What does a climate research scientist specializing in machine learning do?

A Climate Research Scientist who specializes in Machine Learning uses advanced algorithms and computational models to analyze climate data and improve predictions about climate change. They work with large datasets from satellites, weather stations, and simulations to identify patterns, make forecasts, and assess environmental impacts. Their work helps inform policy decisions, guide mitigation strategies, and advance our scientific understanding of the Earth's climate system. Collaboration with other scientists, governments, and organizations is often a key part of the role.

How do climate research scientists specializing in machine learning typically collaborate with multidisciplinary teams?

Climate Research Scientists with expertise in Machine Learning often work closely with meteorologists, data engineers, environmental scientists, and policy experts. They contribute by developing and refining predictive models using large climate datasets, while also translating complex outputs into actionable insights for decision-makers. Collaboration often involves regular team meetings, joint publications, and integrating domain expertise to ensure that the models are both scientifically robust and practically useful. Strong communication skills are valuable, as these scientists frequently explain technical concepts to colleagues from non-technical backgrounds.

What is the difference between Climate Research Scientist Machine Learning vs Climate Data Analyst?

AspectClimate Research Scientist Machine LearningClimate Data Analyst
Required CredentialsMaster's or PhD in Climate Science, Data Science, or related fields; knowledge of machine learningBachelor's or Master's in Environmental Science, Data Analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, environmental agencies, often collaborative and interdisciplinaryGovernment agencies, consulting firms, NGOs; focus on data processing and reporting
Employer & Industry UsageResearch institutions, academia, environmental organizations integrating machine learningPolicy organizations, environmental consultancies analyzing climate data

While both roles involve climate data, Climate Research Scientist Machine Learning focuses on developing predictive models using advanced algorithms, whereas Climate Data Analysts primarily process and interpret climate datasets to inform decisions. The former requires more specialized knowledge in machine learning techniques, while the latter emphasizes data management and reporting skills.

What are popular job titles related to Climate Research Scientist Machine Learning jobs in Missouri?

For Climate Research Scientist Machine Learning jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Climate Research Scientist Machine Learning jobs in Missouri look for?

The top searched job categories for Climate Research Scientist Machine Learning jobs in Missouri are:

What cities in Missouri are hiring for Climate Research Scientist Machine Learning jobs?

Cities in Missouri with the most Climate Research Scientist Machine Learning job openings:

Founding Data Scientist

Jobtailor

California, MO โ€ข On-site

$120 - $180/hr

Other

Posted yesterday

New


Job description

  • Own risk and prediction models that flag customs hold and temperature excursions.
  • Build dynamic re-routing optimization for flagged exceptions.
  • Own data and feature infrastructure for model-ready signals.
  • Develop experimentation systems for model evaluation and metric definition.
Requirements
  • 3-9 years of applied data science or ML experience
  • Experience shipping models to production
  • Strong in Python and modern data and ML stack
  • Comfortable owning data infrastructure: pipelines, feature engineering
  • Real experimentation rigor and ability to design meaningful tests
  • Understanding of data modeling and system connections
  • Must be based in San Francisco or Chicago and excited about being in the office.
Core Competencies

Demonstrates expertise in data science and machine learning, with a strong focus on building and optimizing risk and prediction models. Proficient in Python and data infrastructure management, including pipelines and feature engineering.

Highest-signal resume keywords
  • Data Science Experience
  • Machine Learning Model Deployment
  • Python Proficiency
  • Data Infrastructure Ownership
  • Experimentation Design
ATS Optimization Keywords Hard Skills
  • Data Science
  • Machine Learning
  • Model Deployment
  • Feature Engineering
  • Data Modeling
Soft Skills
  • Problem Solving
  • Analytical Thinking
Industry Keywords
  • Risk Models
  • Prediction Models
  • Temperature Excursions
  • Dynamic Re-Routing Optimization
Tools & Technologies
  • Data Pipelines
  • Experimentation Systems
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