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Masters Computer Science Jobs in Georgia (NOW HIRING)

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

Bachelors degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); a Masters or Ph.D. is a plus. * 5 to 10 years of experience in data science, including machine ...

Home Depot

Data Scientist, Online

Atlanta, GA · On-site

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 ...

Hart County Schools

26-27 Teacher -Science

Hartwell, GA · On-site

$44.60K - $57.70K/yr

... use computer network system and software applications as needed. - Ability to organize and ... Masters Degree preferred. Experience: - Successful prior teaching experience for the appropriate ...

Home Depot

Data Scientist - GenBI

Atlanta, GA · On-site

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 ...

USM

Java Developer -----Need GC and USC

Alpharetta, GA

$49.75 - $64.50/hr

Would need computer science or engineering degree, would prefer masters degree. The Opus team is responsible for the delivery of 4 applications that are used inside retail stores by sales people and ...

4P Consulting Inc.

DotNet Developer

Atlanta, GA

$46.50 - $61.25/hr

Masters Degree in Computer Science, Information Systems, or a related scientific or technical degree a plus Technical Skills/Experience: * Experience working with Identity server - OIDC & SAML based ...

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$14.8K

$53.2K

$113.2K

How much do masters computer science jobs pay per year?

As of May 30, 2026, the average yearly pay for masters computer science in Georgia is $53,225.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,289.00 and $73,137.00 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 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 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.
More about Masters Computer Science jobs
What are the most commonly searched types of Masters Computer Science jobs in Georgia? The most popular types of Masters Computer Science jobs in Georgia are:
What are popular job titles related to Masters Computer Science jobs in Georgia? For Masters Computer Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Masters Computer Science jobs in Georgia look for? The top searched job categories for Masters Computer Science jobs in Georgia are:
What cities in Georgia are hiring for Masters Computer Science jobs? Cities in Georgia with the most Masters Computer Science job openings:
Masters Computer Science jobs near you
Infographic showing various Masters Computer Science job openings in Georgia as of May 2026, with employment types broken down into 7% As Needed, 26% Full Time, 56% Part Time, 4% Temporary, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $53,225 per year, or $25.6 per hour.

DATA SCIENTIST

4P Consulting Inc.

Forest Park, GA

Contractor

Posted 5 days ago

Job description

HI,

Hope you're doing well

This is pankaj from 4P Consulting Please see below job description

Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C

  • A Data Scientist with 5 to 10 years of
    experience is responsible for leveraging
    data to uncover insights, create predictive
    models, and drive data-driven decision-
    making within an organization.
  • This role
    involves advanced analytics, machine
    learning, and strong problem-solving skills
    to extract actionable information from
    large datasets. Key Responsibilities: Data
    Analysis: Collect, clean, and analyze
    complex datasets to identify trends,
    patterns, and actionable insights.
  • Use
    statistical techniques to uncover
    meaningful information from data.
    Predictive Modeling: Develop and deploy
    machine learning models to predict future
    trends, behaviors, and outcomes. Apply
    regression analysis, clustering,
    classification, and other modeling
    techniques.
  • Data Visualization: Create
    compelling data visualizations to
    communicate findings effectively to both
    technical and non-technical stakeholders
    using tools like Tableau, Power BI, or
    Python libraries. Hypothesis Testing:
    Formulate and test hypotheses, providing
    statistical validation for business
    decisions and recommendations.
  • Feature
    Engineering: Engineer and select relevant
    features for machine learning models,
  • enhancing their predictive power.
    Algorithm Development: Build and fine-
    tune machine learning algorithms, such
    as decision trees, random forests, neural
    networks, and more, depending on the
    specific problem.
  • Data Integration:
    Collaborate with IT and database
    administrators to integrate and access
    data from various sources and data
    warehouses. Model Deployment: Deploy
    machine learning models in production
    environments to support real-time
    decision-making. A/B Testing: Design and
    analyze A/B tests to measure the impact
    of changes and improvements. Data
    Ethics:
  • Ensure ethical data practices,
    including privacy and compliance with
    data protection regulations. Cross-
    functional Collaboration: Collaborate with
    cross-functional teams, including
    engineers, business analysts, and domain
    experts, to understand business
    requirements and align data science
    initiatives with organizational goals.
    Mentorship:
  • Provide guidance and
    mentorship to junior data scientists and
    analysts, fostering their professional
    growth. Continuous Learning: Stay
    updated on the latest data science tools,
    techniques, and trends through ongoing
    professional development. Qualifications:
    Bachelors degree in a quantitative field
    (e.g., Computer Science, Statistics,
    Mathematics, Engineering); a Masters or
    Ph.D. is a plus.
  • 5 to 10 years of experience
    in data science, including machine
    learning and statistical analysis.
    Proficiency in data analysis tools and
    programming languages such as Python,
    R, or Julia. Strong knowledge of machine
    learning algorithms and their applications.
    Experience with data visualization toolslike Tableau, Power BI, or data
    visualization libraries in Python (e.g.,
    Matplotlib, Seaborn). Solid understanding
    of databases and data manipulation using
    SQL. Excellent problem-solving and
    critical thinking skills. Strong
    communication skills to convey complex
    findings and insights to both technical and
    non-technical stakeholders. Familiarity
    with big data technologies and distributed
    computing frameworks is a plus (e.g.,
    Hadoop, Spark). Knowledge of data
    ethics, privacy, and compliance
    considerations.
  • A Data Scientist with 5 to
    10 years of experience is a critical asset to
    an organization, capable of transforming
    data into actionable insights, building
    predictive models, and driving data-driven
    decision-making. This role requires a
    strong foundation in data science
    techniques, programming, and advanced
    analytics, as well as the ability to
    collaborate with various teams and
    mentor junior staff.

Thanks and Regards

Sr. Talent Acquisition Specialist

Pankaj Mishra

Pankaj.Mishra@4pconsultinginc.com

+1 205-756-4834