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Masters Computer Science Jobs in Atlanta, GA (NOW HIRING)

Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience * 4+ years of experience in data science, advanced analytics, and building production-level ML ...

Data Scientist

Atlanta, GA · On-site

$85K - $90K/yr

Masters Degree in Computer Science or Statistics Experience : 1 year in Data Science Compensation The compensation range for this position is $85,000.00 - $90,000.00 annually. This position will be ...

Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred 5 or more years of relevant quantitative and qualitative research and analytics experience Solid ...

Bachelors degree in computer science, masters degree preferred * Travel up to 50% * 10+ years of technical consulting * 10+ years of Java Development * 10+ years of System Architecture * Experience ...

Bachelors degree in computer science, masters degree preferred * Travel up to 50% * 10+ years of technical consulting * 10+ years of Java Development * 10+ years of System Architecture * Experience ...

Android Developer

Atlanta, GA · On-site

$80 - $100/hr

Bachelors or Masters in Computer Science, Engineering or similar field * 3 to 5 years proven software development experience and Android skills development * Proven working experience in Android app ...

... Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred • 5 or more years of relevant quantitative and qualitative research and analytics experience • ...

Masters degree in a related field, preferably in Management Information Systems or Computer Science. * Eligibility to sit for the CISA exam or CISA certification. Legal Notice Forvis Mazars, LLP is ...

GCP Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Qualifications: -Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. -8+ years of hands-on experience in data engineering, data modeling, and ...

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA · On-site

$111K - $134K/yr

Qualifications: -Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. -8+ years of hands-on experience in data engineering, data modeling, and ...

Data Architect

Atlanta, GA · On-site

$62.25 - $80/hr

Masters or Bachelor's degree in Computer Science or Information technology with specialization in Data & Analytics, Data Science, Data Engineering or related fields. * Any one of the generic Cloud ...

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA · On-site

$111K - $134K/yr

Qualifications: -Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. -8+ years of hands-on experience in data engineering, data modeling, and ...

Science Teacher Grades (6-8)

Atlanta, GA · On-site

$45K - $59K/yr

Ability to use computer network system and software applications as needed. * Ability to organize ... Masters Degree preferred. Experience Successful prior teaching experience of at least two (2) years ...

Google Contact Center AI

Alpharetta, GA · On-site

$15.75 - $21.50/hr

Bachelors / Masters in Computer Science / Mathematics or equivalent practical experience (at least 4-5 years) * Experience in Machine Learning Tools and Algorithms like TensorFlow, AI, DL or NLP

Bachelors or Masters degree in Business Analytics, Industrial Engineering, Econometrics, Computer Science, Operations Research, Data Science or other Applied Mathematical Discipline; MBA is a plus ...

Showing results 21-40

Masters Computer Science information

See Atlanta, GA salary details

$18.8K

$67.7K

$144K

How much do masters computer science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for masters computer science in Atlanta, GA is $67,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,084.00 and $93,058.00 per year, depending on experience, location, and employer.

What is a masters computer science job?

A Masters Computer Science job typically requires an advanced degree in computer science or a related field, focusing on specialized areas such as artificial intelligence, data science, cybersecurity, or software development. Professionals in these roles apply their expertise in programming, algorithms, and system design to solve complex problems in industries like technology, healthcare, finance, and research. Common job titles include Software Engineer, Data Scientist, Machine Learning Engineer, and Cybersecurity Analyst. These roles often involve designing and optimizing software, analyzing large datasets, improving security measures, or developing innovative computing solutions. A master's degree can provide deeper knowledge, better job prospects, and higher salaries in the computer science field.

What types of projects or responsibilities can I expect when starting a position with a master's degree in computer science?

As a new hire holding a Master's degree in Computer Science, you can expect to work on a variety of challenging projects, such as developing software applications, optimizing algorithms, conducting data analysis, or contributing to research-driven innovation, depending on the specific employer and industry. Your responsibilities might include writing and testing code, collaborating with cross-functional teams, and presenting technical solutions. You may also be involved in system architecture design, troubleshooting technical issues, or implementing new technologies. This role often encourages continuous learning, and you'll have opportunities to expand your expertise while working alongside experienced engineers and project managers.

What are the key skills and qualifications needed to thrive in the masters computer science position, and why are they important?

To succeed with a Master's degree in Computer Science, candidates typically need strong analytical abilities, programming skills in languages such as Python, Java, or C++, and a solid understanding of data structures, algorithms, and software engineering principles. Familiarity with development tools, version control systems like Git, and possibly certifications in areas such as cloud computing or machine learning are commonly valued. Excellent problem-solving, teamwork, and effective communication skills help individuals stand out in both collaborative and independent projects. These competencies enable professionals to develop advanced technological solutions and adapt to rapidly changing industry demands.

What are the most commonly searched types of Masters Computer Science jobs in Atlanta, GA?

The most popular types of Masters Computer Science jobs in Atlanta, GA are:

What are popular job titles related to Masters Computer Science jobs in Atlanta, GA?

For Masters Computer Science jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Masters Computer Science jobs in Atlanta, GA look for?

The top searched job categories for Masters Computer Science jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Masters Computer Science jobs?

Cities near Atlanta, GA with the most Masters Computer Science job openings:

Infographic showing various Masters Computer Science job openings in Atlanta, GA as of August 2026, with employment types broken down into 87% Full Time, and 13% Temporary. Highlights an 100% In-person job distribution, with an average salary of $67,722 per year, or $32.6 per hour.

Data Scientist - People Analytics

Home Depot

Atlanta, GA • On-site, Remote

Full-time

Re-posted 1 hour ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,489 frontline employees who took The Breakroom Quiz

5th 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 candidate/associate experiences. This role applies industry-leading analytical methodologies and cutting-edge artificial intelligence for working with large, complex HR datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed code is documented and maintained using modern version control (e.g., GitHub) as a library of reusable algorithms. This role requires deep knowledge in specialized data science areas, particularly in recommendation systems, Natural Language Processing (NLP), Generative AI, and agentic workflows.
As a Data Scientist, you will apply advanced analytics methods, machine learning algorithms, and Large Language Models (LLMs) to identify trends and provide highly scalable business solutions. You will be expected to own the end-to-end MLOps lifecycle-from ideation and research to deploying models into active production environments. This role must present complex insights and recommendations to non-technical audiences, explaining the benefits and impacts of the proposed solutions. In addition, Data Scientists collaborate tightly with IT, Staffing, and cross-functional business partners, requiring effective communication skills, relationship building, and a strong focus on understanding the overarching People Analytics ecosystem.
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 data science, advanced analytics, and building production-level ML systems
  • Working knowledge of Microsoft Excel and Power Point
  • Proficient in Python (including Pandas and NumPy) and version control utilizing Git/GitHub
  • Proficient running queries against large-scale databases (preferably with Google BigQuery, SQL, and GCP)
  • Proficient with data visualization software (preferably Tableau)
  • Proficient with the end-to-end MLOps lifecycle, model deployment, and API serving (preferably with Kubeflow or MLflow)
  • Knowledgeable in Generative AI, LLM-powered agentic workflows, and recommendation systems

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

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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, manufacturing and personal services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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