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Masters In Computer Science Jobs in Jackson, GA (NOW HIRING)

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 ...

Bachelor's degree in computer science from a 4 year college or university * Minimum 1 years of experience; or an equivalent combination of education and experience What you gain from joining our team:

Bachelor's degree in computer science from a 4 year college or university * Minimum 1 years of experience; or an equivalent combination of education and experience What you gain from joining our team:

IT Generalist

Conyers, GA · On-site

$23 - $25/hr

Bachelor's Degree in Computer Science or related field preferred, not required. * Minimum of 35 years of IT technical support * Strong knowledge and handson experience installing, configuring ...

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Masters In Computer Science information

What is a master's in computer science?

A Masters in Computer Science is a graduate-level degree program that provides advanced knowledge and skills in computer science. It typically covers topics such as algorithms, programming, data structures, artificial intelligence, machine learning, and software engineering. The program is designed for individuals who want to deepen their understanding of computer science, advance their careers, or prepare for doctoral studies. Most programs require students to complete coursework, projects, and sometimes a thesis or capstone project. Graduates are prepared for roles in software development, data science, research, and other technology-focused careers.

What types of roles and industries commonly hire professionals with a master's in computer science?

Professionals with a Master's in Computer Science are highly sought after in a variety of industries, including technology, finance, healthcare, government, and academia. Common roles include software engineer, data scientist, machine learning engineer, systems architect, and IT project manager. Many organizations value the advanced technical knowledge and research skills gained during the program, which can also open doors to leadership or specialized research positions. Additionally, the collaborative nature of most computer science projects means you can expect to work in cross-functional teams with engineers, analysts, and business stakeholders.

What are the key skills and qualifications needed to thrive as a computer scientist with a master's degree, and why are they important?

To thrive as a Computer Scientist with a Master’s degree, you need advanced knowledge in algorithms, programming, and software development, usually demonstrated through a relevant graduate degree. Familiarity with programming languages such as Python, Java, or C++, and proficiency in tools like Git, databases, and cloud platforms are typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork set candidates apart in this role. These skills ensure that professionals can design innovative solutions, collaborate efficiently, and adapt to evolving technological challenges.

Is a master's in computer science worth doing?

A master's in computer science can enhance technical skills, improve job prospects, and qualify individuals for advanced roles such as software engineer, data scientist, or systems analyst. It often leads to higher salaries and increased opportunities in fields like artificial intelligence, cybersecurity, and software development, especially when combined with practical experience and certifications. However, the value depends on career goals, industry demand, and the program's quality.

Is it easier to get a computer science job with a master's in computer science?

A master's in computer science can improve job prospects for computer science roles by providing advanced technical skills, specialized knowledge, and often a competitive edge over candidates with only a bachelor's degree. However, securing a job also depends on factors like experience, certifications, and the current job market. While a master's degree can open doors to more senior or specialized positions, it does not guarantee easier employment compared to candidates with less education.

What can a master's in computer science get you?

A master's in computer science can qualify you for advanced roles such as software engineer, data scientist, or systems analyst. It often provides specialized knowledge in areas like algorithms, machine learning, and software development, increasing job opportunities and earning potential in the tech industry.

What jobs can a masters in computer science get you?

A master's in computer science can lead to roles such as software engineer, data scientist, systems analyst, cybersecurity analyst, and machine learning engineer. These positions typically require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or cloud platforms.

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

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

Infographic showing various Masters In Computer Science job openings in Jackson, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

DATA SCIENTIST

Forest Park, GA • On-site

4P Consulting Inc.
Industrial Automation Equipment Manufacturing • 1 - 10 employees

Contractor

Re-posted 18 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