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Energy Data Science Jobs in Georgia (NOW HIRING)

Krest Global Solutions

DATA Engineer GCP

Atlanta, GA · On-site

$58 - $60/hr

Collaborate with data scientists to support Vertex AI workflows and explore the use of Gemini ... Domain experience in energy , utilities , or industrial sectors Experience Requirements:

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Partner with ML engineers and data scientists to implement efficient data workflows for model ... aviation and energy transition. As a trusted partner, we provide actionable solutions and ...

VHB

Energy Career Opportunities at VHB

Atlanta, GA · Hybrid

At VHB, you'll work alongside planners, engineers, scientists, and technologists who share a commitment to energy innovation and data-driven solutions. Together, we tackle complex energy and climate ...

Varsity Tutors

Middle School Science Tutor

Duluth, GA · Remote

$18 - $40/hr

Ability to explain cell structure, inherited traits, energy transfer, and Newton laws at an age ... Guides students through designing controlled experiments, interpreting graphs and data tables ...

Varsity Tutors

Middle School Science Tutor

Augusta, GA · Remote

$18 - $40/hr

Ability to explain cell structure, inherited traits, energy transfer, and Newton laws at an age ... Guides students through designing controlled experiments, interpreting graphs and data tables ...

Varsity Tutors

Middle School Science Tutor

Roswell, GA · Remote

$18 - $40/hr

Ability to explain cell structure, inherited traits, energy transfer, and Newton laws at an age ... Guides students through designing controlled experiments, interpreting graphs and data tables ...

Varsity Tutors

Middle School Science Tutor

Marietta, GA · Remote

$18 - $40/hr

Ability to explain cell structure, inherited traits, energy transfer, and Newton laws at an age ... Guides students through designing controlled experiments, interpreting graphs and data tables ...

Varsity Tutors

Middle School Science Tutor

Woodstock, GA · Remote

$18 - $40/hr

Ability to explain cell structure, inherited traits, energy transfer, and Newton laws at an age ... Guides students through designing controlled experiments, interpreting graphs and data tables ...

Varsity Tutors

Middle School Science Tutor

Atlanta, GA · Remote

$18 - $40/hr

Ability to explain cell structure, inherited traits, energy transfer, and Newton laws at an age ... Guides students through designing controlled experiments, interpreting graphs and data tables ...

Varsity Tutors

Middle School Science Tutor

Athens, GA · Remote

$18 - $40/hr

Ability to explain cell structure, inherited traits, energy transfer, and Newton laws at an age ... Guides students through designing controlled experiments, interpreting graphs and data tables ...

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Showing results 21-40

All JobsEnergy Data Science JobsEnergy Data Science Jobs in Georgia

Energy Data Science information

What is energy data science?

Energy data science is a specialized field that involves analyzing large datasets related to energy production, consumption, and infrastructure to optimize efficiency and inform decision-making. Professionals in this field often use statistical methods, machine learning, and data visualization tools to identify patterns and improve energy systems. Strong skills in programming, data analysis, and domain knowledge of energy systems are essential for this role.

What is the difference between Energy Data Science vs Energy Analyst?

AspectEnergy Data ScientistEnergy Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Energy, Economics, or related field; strong analytical skills
Work EnvironmentData-driven projects, modeling, and algorithm development in tech or energy companiesData analysis, reporting, and market assessment in energy firms or utilities
Employer & Industry UsageTech companies, energy firms focusing on data modeling and predictive analyticsUtilities, energy consulting, and market analysis firms

Energy Data Scientists focus on developing models and algorithms to analyze energy data, while Energy Analysts interpret data to inform business decisions. Both roles require analytical skills, but Data Scientists emphasize programming and modeling, whereas Analysts focus on reporting and market insights.

What are popular job titles related to Energy Data Science jobs in Georgia? For Energy Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Energy Data Science jobs in Georgia look for? The top searched job categories for Energy Data Science jobs in Georgia are:
What cities in Georgia are hiring for Energy Data Science jobs? Cities in Georgia with the most Energy Data Science job openings:
Energy Data Science jobs near you
Infographic showing various Energy Data Science job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer 3 (AI Engineer)

4pconsultinginc

Atlanta, GA • On-site

Contractor

Re-posted 23 days ago

Job description

Machine Learning Engineer 3 (AI Engineer)

Location: Atlanta, GA

Client- Southern Company Gas

Contract- 1 Year
 

Job Summary

We are seeking a highly skilled Machine Learning Engineer (Level 3) with 5–10 years of experience to design, develop, and deploy advanced AI models and systems. This role requires expertise in machine learning, data analysis, and model deployment to optimize business operations and drive innovation within the utilities and energy sector.

The successful candidate will collaborate with cross-functional teams—including data scientists, engineers, and business stakeholders—to integrate AI solutions into real-world applications that support operational efficiency, customer service, and sustainability initiatives.

Key Responsibilities

  • AI Model Development: Design and implement machine learning models and algorithms to address utility-specific challenges such as grid optimization, asset reliability, predictive maintenance, and customer analytics.

  • Data Analysis: Analyze large, complex datasets from SCADA, AMI, and IoT systems to extract actionable insights.

  • Model Training & Evaluation: Train, test, and validate AI models to ensure accuracy, scalability, and compliance with industry reliability standards.

  • Deployment & Integration: Deploy AI solutions into production systems and integrate with enterprise platforms (e.g., Azure, Maximo, EMS/DMS systems).

  • Innovation: Stay current with the latest advancements in AI/ML and recommend solutions that can enhance grid resilience, safety, and efficiency.

  • Collaboration: Partner with engineering, IT, and business units to define requirements and deliver business-aligned AI solutions.

  • Performance Monitoring: Continuously monitor AI models and refine as needed to maintain performance and compliance.

  • Documentation & Knowledge Sharing: Create clear documentation of models, workflows, and processes for reuse and compliance.

Qualifications

Education:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.

Experience:

  • 5–10 years of experience in AI, ML, or data science roles, with proven success in AI model development and deployment.

  • Industry experience in utilities, energy, or large-scale infrastructure data is preferred.

Technical Skills:

  • Proficiency in Python, R, or Java.

  • Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn.

  • Strong grasp of data structures, algorithms, and applied statistics.

  • Familiarity with cloud platforms such as Azure ML and Azure Databricks (preferred), AWS or Google Cloud (a plus).

  • Experience with big data tools (e.g., Spark, Hadoop) is desirable.

  • Exposure to natural language processing (NLP) or computer vision a plus.

Soft Skills:

  • Strong analytical and problem-solving abilities.

  • Excellent communication skills for cross-functional collaboration.

  • Ability to work independently and manage multiple projects simultaneously.

  • Experience working in agile or iterative development environments.

Preferred Qualifications

  • Lighting up AI/ML use cases in the utility/energy sector (e.g., outage prediction, DERMS optimization, vegetation management analytics).

  • Certifications in AI/ML, data science, or cloud platforms (Azure, AWS, GCP).

  • Experience with MLOps pipelines and CI/CD integration for model deployment.