1

Energy Data Science Jobs in Georgia (NOW HIRING)

His/her responsibility will be to define data science standards, uncover areas in which data ... Experience in industrial industry applications or process industries (chemicals, energy, petroleum ...

His/her responsibility will be to define data science standards, uncover areas in which data ... Experience in industrial industry applications or process industries (chemicals, energy, petroleum ...

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field ... aviation and energy transition. As a trusted partner, we provide actionable solutions and ...

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

Based on the specific data science team, this role may need to develop skills in one or more data ... Taking on new opportunities and tough challenges with a sense of urgency, high energy, and ...

You will also be responsible for recommending innovative solutions by using various data science ... aviation and energy transition. As a trusted partner, we provide actionable solutions and ...

You will also be responsible for recommending innovative solutions by using various data science ... aviation and energy transition. As a trusted partner, we provide actionable solutions and ...

Associate Data Scientist, Marketing

Atlanta, GA · On-site

$56K - $56K/yr

Based on the specific data science team, this role may need to develop skills in one or more data ... Taking on new opportunities and tough challenges with a sense of urgency, high energy, and ...

Principal Data Scientist

Atlanta, GA · On-site +1

$165K - $249K/yr

Collaborate with other Data Science leaders toestablishan operating model for machine learning R&D ... The people, the energy, the connections -it'sunmatched.Come and be part of an ever-evolving ...

You are responsible for leading the design of data science products while thinking strategically ... energy on strategic problem-solving. * Drive Actionable Insights & Influencing: Lead end-to-end ...

Energy, Finance, Healthcare, Government, Retail, Fulfillment Logistics, Manufacturing and Telecom ... Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred 5 ...

Energy, Finance, Healthcare, Government, Retail, Fulfillment Logistics, Manufacturing and Telecom ... computer science or related field - Ph D. degree preferred • 5 or more years of relevant ...

next page

Showing results 1-20

Energy Data Science information

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 cities in Georgia are hiring for Energy Data Science jobs? Cities in Georgia with the most Energy Data Science job openings:
Infographic showing various Energy Data Science job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.
Sr. Data Scientist

Sr. Data Scientist

STEMtech

Atlanta, GA • On-site

Full-time

Posted 25 days ago


Job description

Company Description
STEMtech has a client in the Atlanta area looking for an Sr. Data Scientist who will have the opportunity to build and manage a team of Data Scientists who will have an instrumental role in achieving the organizations goals. His/her responsibility will be to define data science standards, uncover areas in which data science can drive business value, and provide guidance to the team of data scientists on how to best apply data science techniques. In addition, he/she will be responsible for applying advanced statistical analysis tools and techniques to explain operating behaviors, understand complex relationships between known and unknown drivers of performance, and build algorithms using advanced descriptive and prescriptive methods. Lastly, he/she will also inform on needed tools and capabilities to industrialize insights into day-to-day ways of working that drive real tangible operational enhancements.
Job Description
  • Collaborates with translators and understands business problems to implement scalable and sustainable solutions
  • Coordinates with SMEs, translators, IT and data engineers to deliver holistic analytical solutions
  • Designs, creates, tests and implements complex models and algorithms that drive analytical solutions throughout the organization
  • Translate or interpret findings for non-analytical or statistically adept colleagues
  • Write reports articulating the analytics insights and their business impacts
  • Conduct and led meetings and workshops to explain findings
  • Supports Translators in communicating the design, functioning and output of the analytical models/solutions developed
  • Manage and direct data science team to accomplish technical goals and develop data insights
  • Provides guidance and supervision to Data Scientists on data science best practices and Novelis data science standards

Qualifications
  • 12+ years of experience in IT or a business function, 5 or more of which is specific to data science
  • Master's degree or other advanced degree in information technology, computer science, data science, or related quantitative discipline (e.g. advanced statistical analysis)
  • Experience leading a team of data scientists with responsibility for hiring, coaching, and developing direct staff
  • Experience with object oriented design, coding and testing, engineering software platforms
  • Proficiency in aggregation of large data sets, statistical analysis tools
  • Expert knowledge of data modeling and understanding of different data structures
  • Understanding of advanced applied mathematics in AA, artificial intelligence and array operations
  • Comfort in using SQL Server, PostgreSQL/ MySQL, and R
  • Knowledge of programming languages (R, PHP, Python)
  • Able to build a sense of trust and rapport that creates a comfortable & effective workplace
  • Experience in industrial industry applications or process industries (chemicals, energy, petroleum refining, mining) preferred

Additional Information
All your information will be kept confidential according to EEO guidelines.