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Data Science Degree Jobs in Georgia (NOW HIRING)

Data Science Engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Required : • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field. • 3-8+ years of experience in data engineering, software engineering, or ...

data science engineer

Alpharetta, GA · On-site

$108K - $130K/yr

... degree in Computer Science, Information Technology, Data Science, or related field Preferred : • 2+ years of experience in data engineering or related roles • Experience with modern data stack ...

Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment. * PhD in ...

Master's degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 9 years of ...

Bachelor's degree in STEM or bachelor's degree with an equivalent combination of relevant education ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

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 ...

Education Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field, or combination of education and equivalent experience. Location:

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 ...

Education Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field, or combination of education and equivalent experience. Location:

Preferred Skills and Experience Quantitative Advanced degree (Statistics, Computer Science, Math, Data Science or Similar) Experience with Posit platforms, including Workbench and Connect Experience ...

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in ...

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in ...

Preferred Skills and Experience • Quantitative Advanced degree (Statistics, Computer Science, Math, Data Science or Similar) • Experience with Posit platforms, including Workbench and Connect • ...

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

D. degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field, or combination of Bachelor's degree with equivalent experience. Location : Duluth, GA #HP1 Equal ...

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Showing results 1-20

Data Science Degree information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do data science degree jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data science degree in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 per year, depending on experience, location, and employer.

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

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

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What are popular job titles related to Data Science Degree jobs in Georgia?

For Data Science Degree jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Data Science Degree jobs?

Cities in Georgia with the most Data Science Degree job openings:

Infographic showing various Data Science Degree job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

Data Scientist - Delivery Data Science

Home Depot

Atlanta, GA • On-site

Full-time

Posted 10 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,432 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
Key Responsibilities:
  • 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
  • 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
  • 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
  • 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented

Direct Manager/Direct Reports:
  • This position typically reports to Manager or above
  • This position has 0 Direct Reports

Travel Requirements:
  • Typically requires overnight travel less than 10% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  • 4+ years of experience in business intelligence and analytics
  • Working knowledge of Microsoft Excel and Power Point
  • Experience in a modern scripting language (preferably Python)
  • Proficient running queries against data (preferably with Google BigQuery or SQL)
  • Proficient with data visualization software (preferably Tableau)
  • Proficient utilizing statistical techniques to identify key insights that help solve business problems
  • Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Demonstrated experience in predictive modeling, data mining and data analysis

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 3

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Drives Results: Consistently achieving results, even under tough circumstances
  • Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Home Depot logo

About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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