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Climate Research Scientist Machine Learning Jobs in Georgia

Elevance Health

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

Research Scientist Senior Research Scientist Senior This role requires associates to be in-office ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

Elevance Health

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

Research Scientist Senior This role requires associates to be in-office 1 - 2 days per week ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

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All JobsClimate Research Scientist Machine Learning JobsClimate Research Scientist Machine Learning Jobs in Georgia

Climate Research Scientist Machine Learning information

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.

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.

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 Georgia?

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

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

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

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

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

Climate Research Scientist Machine Learning jobs near you

Data Scientist/Machine Learning Scientist

Atlanta, GA • On-site

The Intersect Group
See more jobs at The Intersect Groupexternal

Other

Posted 6 days ago

Job description

Position Overview

We are seeking a Data Scientist / Machine Learning Scientist to join a centralized AI and Data Science team supporting multiple business units across the organization. This role will partner with business leaders, product teams, and technical stakeholders to identify opportunities where advanced analytics and machine learning can create strategic value.

The ideal candidate is passionate about solving complex business challenges through data driven insights and predictive modeling. You will be responsible for developing, deploying, and optimizing machine learning solutions while helping shape the organization's AI and analytics capabilities. This position offers the opportunity to work across a variety of business domains and influence high impact initiatives from concept through production.

Key Responsibilities

• Collaborate with business stakeholders, product teams, and technology partners to identify and prioritize data science opportunities

• Design, develop, deploy, and maintain machine learning models that address complex business challenges

• Perform exploratory data analysis to evaluate data quality, identify trends, and uncover actionable insights

• Build predictive, classification, clustering, and optimization models using advanced statistical and machine learning techniques

• Monitor model performance and continuously refine solutions throughout the model lifecycle

• Translate business requirements into scalable data science solutions and clearly communicate results to technical and nontechnical audiences

• Develop scalable data science workflows utilizing cloud platforms and big data technologies

• Stay current on emerging AI, machine learning, and advanced analytics technologies and recommend innovative solutions where appropriate

Key Requirements

• Bachelor's, Master's, or PhD in Computer Science, Statistics, Data Science, Mathematics, Machine Learning, Engineering, or a related quantitative field

• Proven experience developing, deploying, and maintaining machine learning models in production environments

• Strong programming expertise with Python and experience with Scala

• Advanced SQL skills and experience working with large scale structured and unstructured datasets

• Hands on experience with big data technologies including PySpark, Apache Spark, and distributed data processing environments

• Deep understanding of statistical analysis, predictive modeling, feature engineering, model validation, and machine learning methodologies

• Experience communicating technical concepts and analytical findings to both technical and business stakeholders

• Strong problem solving skills with the ability to work independently and collaboratively across cross functional teams

Preferred Qualifications

• Experience with supervised and unsupervised machine learning techniques

• Expertise with Random Forest, Gradient Boosting Machines, XGBoost, Support Vector Machines, K Means Clustering, and DBSCAN

• Experience building and deploying deep learning models

• Knowledge of cloud based data science and machine learning platforms

• Experience designing scalable analytics pipelines and automation processes

• Strong background in predictive analytics, data mining, and advanced statistical modeling

• Experience creating data visualizations and presenting insights to executive leadership

Work Arrangement

• Atlanta based candidates will work a hybrid schedule with 2 days per week onsite

• Candidates located outside the Atlanta area may work fully remote

Why Join This Opportunity

• Work on high visibility AI and machine learning initiatives with enterprise wide impact

• Collaborate with experienced data scientists, engineers, product leaders, and business stakeholders

• Build innovative solutions using modern data science and machine learning technologies

• Influence strategic decision making through advanced analytics and predictive insights

• Enjoy the flexibility of a hybrid or remote working environment

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