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Applied Computer Science Jobs in Georgia (NOW HIRING)

Bachelor's degree in a STEMrelated field (e.g., statistics, applied math, computer science, engineering, business analytics) required; Advanced degree preferred. * 2+ years of professional experience ...

Bachelor's degree in computer science, engineering, applied mathematics, or equivalent practical experience. * 5+ years in a technical, client-facing role such as Solutions Architect, Data Scientist ...

Bachelor's degree in computer science, engineering, applied mathematics, or equivalent practical experience. * 5+ years in a technical, client-facing role such as Solutions Architect, Data Scientist ...

Bachelor's degree in computer science, engineering, applied mathematics, or equivalent practical experience. * 5+ years in a technical, client-facing role such as Solutions Architect, Data Scientist ...

We are an applied data science team operating in an agile, production-oriented environment, and we ... D. or Master's in Data Science, Computer Science, or a related field. Added Bonus / Preferred ...

We are an applied data science team operating in an agile, production-oriented environment, and we ... D. or Master's in Data Science, Computer Science, or a related field. Added Bonus / Preferred ...

Master's degree or other advanced degree in information technology, computer science, data science ... Understanding of advanced applied mathematics in AA, artificial intelligence and array operations

Master's degree or other advanced degree in information technology, computer science, data science ... Understanding of advanced applied mathematics in AA, artificial intelligence and array operations

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Showing results 1-20

Applied Computer Science information

See Georgia salary details

$15.9K

$54.6K

$127.2K

How much do applied computer science jobs pay per year?

As of May 28, 2026, the average yearly pay for applied computer science in Georgia is $54,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,289.00 and $75,082.00 per year, depending on experience, location, and employer.

What is an Applied Computer Science job?

An Applied Computer Science job focuses on practical applications of computing principles to solve real-world problems. Professionals in this field use programming, algorithms, data analysis, and software development to create efficient solutions in various industries. Unlike theoretical computer science, applied computer science emphasizes hands-on implementation and problem-solving. Careers include roles in software development, cybersecurity, data science, and systems administration. These jobs require both technical expertise and the ability to apply computing knowledge to diverse challenges.

What are the key skills and qualifications needed to thrive in the Applied Computer Science position, and why are they important?

To thrive in Applied Computer Science, you need a strong understanding of programming, algorithms, and software engineering, usually with a relevant degree such as Computer Science or Software Engineering. Familiarity with development tools, databases, cloud platforms, and possibly certifications in areas like AWS, Azure, or specific programming languages is highly valuable. Problem-solving ability, teamwork, and effective communication are vital soft skills for delivering solutions in collaborative environments. These abilities ensure your technical solutions are robust, efficiently meet user needs, and integrate smoothly into real-world business contexts.

What are some common career advancement opportunities for professionals in Applied Computer Science?

Professionals in Applied Computer Science often start in roles such as software developer, systems analyst, or data analyst, and can advance to positions like lead engineer, project manager, or solutions architect with experience. Many organizations encourage ongoing learning through workshops, certifications, and cross-functional projects, allowing for skill-building and specialization in areas like cloud computing, cybersecurity, or artificial intelligence. Some may progress into leadership roles overseeing development teams or managing technical projects. As technology evolves, there is significant potential to transition into new specialties or higher-level positions within the IT and software industry.

What jobs make $3,000 a month without a degree?

In applied computer science, roles such as web developer, IT support specialist, or freelance programmer can earn around $3,000 monthly without a formal degree, especially with relevant skills and certifications. These jobs often require proficiency in programming languages, problem-solving, and familiarity with tools like HTML, CSS, or troubleshooting hardware and software issues.
What cities in Georgia are hiring for Applied Computer Science jobs? Cities in Georgia with the most Applied Computer Science job openings:
Infographic showing various Applied Computer Science job openings in Georgia as of May 2026, with employment types broken down into 30% Full Time, 60% Part Time, and 10% Contract. Highlights an 39% Physical, 1% Hybrid, and 60% Remote job distribution, with an average salary of $54,641 per year, or $26.3 per hour.
Data Scientist - Revenue Management

Data Scientist - Revenue Management

Arconic

Norcross, GA • On-site

Full-time

Posted 13 days ago


Arconic rating

7.9

Company rating: 7.9 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

144th of 511 rated manufacturers


Job description

Job Description
Arconic is currently in search of a Data Scientist - Revenue Management to join our Kawneer Business in Norcross, GA.
At Arconic, we take pride in our work and our innovative products and technologies that advance sustainable solutions for a better world. We strive to create a safe, inclusive, and collaborative workplace with competitive benefits, development opportunities and a culture that values and rewards employees on all levels of the organization.
Job Summary:
This role supports the Revenue Management team by building, maintaining, and improving analytical models used for forecasting demand, understanding pricing performance, and identifying revenue opportunities. The emphasis is on learning the business, applying analytics pragmatically, and growing toward more advanced pricing and optimization work.
This is an applied role, not academic research.
Responsibilities
In this role, you will:
  • Support demand forecasting and reporting
  • Analyze historical pricing and customer behavior
  • Assist in building and testing pricing or elasticity models
  • Clean, validate, and structure messy transactional data
  • Translate analysis into clear insights for RM managers
  • Gradually take ownership of defined analytical components

Also note:
  • The successful incumbent in this position should know basic statistics:
    • Mean, variance, regression concepts
    • Correlation vs causation awareness
  • Introductory forecasting concepts: trend, seasonality, moving averages
  • Comfort working with uncertainty and imperfect data
  • This hire must be able to work with data independently, even if models are simple at first.
  • Demonstrated interest in pricing, forecasting and business decision-making.
  • Ability to understand:
    • Why pricing varies by customer / product / time
    • Trade-offs between volume, price, and margin
  • Can explain analysis in plain English
  • Comfortable asking good questions
  • Willing to challenge assumptions respectfully

Strong attention to detail and data quality
Qualifications
You have:
  • Bachelor's Degree in Statistics, Mathematics, Economics, Industrial Engineering, Operations Research, Computer Science or Data Science.
  • 0-2 years of professional experience
  • Internships, research projects, or strong academic work
  • Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at time of hire. Visa sponsorship is not available for this position.

Preferred Qualifications:
  • Master's degree (especially for OR, analytics, or applied economics)
  • Relevant coursework in Forecasting, Econometrics, Optimization, Supply chain or pricing analytics
  • Scikit-learn exposure
  • Data visualization (matplotlib, seaborn, Power BI, Tableau)
  • Git or version control familiarity

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