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Climate Research Scientist Machine Learning Jobs in Nevada

Data Scientist

Las Vegas, NV ยท On-site

$70 - $130/hr

Leverage data science, machine learning, and advanced analytics to solve business problems and provide actionable insights. * Plan and complete complex projects using statistical applications, big ...

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of transformer models and LLM ...

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of transformer models and LLM ...

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of transformer models and LLM ...

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of transformer models and LLM ...

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 Nevada? For Climate Research Scientist Machine Learning jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Climate Research Scientist Machine Learning jobs in Nevada look for? The top searched job categories for Climate Research Scientist Machine Learning jobs in Nevada are:
What cities in Nevada are hiring for Climate Research Scientist Machine Learning jobs? Cities in Nevada with the most Climate Research Scientist Machine Learning job openings:

Data Scientist Level lll

MbSolutions Inc

Indian Springs, NV โ€ข On-site

Full-time

Dental, Retirement

Re-posted 11 days ago


Job description

Job Overview
We are seeking a highly skilled and innovative Data Scientist Level III to join our dynamic analytics team. In this role, you will leverage your extensive expertise in machine learning, data mining, and big data technologies to develop advanced models that drive strategic decision-making. You will work on complex datasets, utilize cutting-edge AI frameworks, and deploy scalable solutions that impact various business units. Your passion for uncovering insights and translating data into actionable intelligence will help shape the future of our organization's data-driven initiatives.
Requirements
  • Must be a US Citizen
  • Must have a favorable Tier 1 (T1) security investigation
  • Must Minimum of Bachelor's degree in computer science, operations research, or a comparable field
  • Minimum of 5 years of experience in professional software algorithm development and/or database management and visualization.
  • Experience with software development lifecycle and use of associated tools.
  • Proficient in Python, R, Matlab, Lua, or other data science[1]centric programming language.
  • Mathematical knowledge of optimization, multi-variate calculus, probability & statistics, linear algebra, and numerical methods.
  • Knowledge of supervised and unsupervised machine learning concepts, such as Artificial Neural Networks, SVMs, Random Forests, Gaussian Processes, and other techniques.
  • Knowledge of common data visualization technologies, such as matplotlib, bokeh, d3, or matlab.
  • Willingness to learn new skills and technologies and exit "comfort zone".
  • Good organization, decision making, and verbal and written communication skills.
  • High level of self-initiative and self-motivation with the ability to work under minimal supervision.
  • Ability to work effectively in small team settings to solve complex problems

Benefits:
  • 401(k)
  • Dental insurance
  • Retirement plan
  • Tuition reimbursement

Work Location: In person