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

GAINSystems

Applied Data Scientist

Atlanta, GA · On-site

Applied Data Scientist Applied Research Group - Supply Chain Optimization About GAINS GAINS is on a ... Bachelor's degree in Computer Science, Statistics, Data Science, Engineering, Operations Research ...

Relativity

Senior Applied Scientist

Atlanta, GA · On-site +1

Applied Science Team The Applied Science team operates at the core of Relativity's AI development ... Master's degree in Computer Science or a quantitative field plus 2 years of relevant industry ...

GAINSystems

Applied Data Scientist

Atlanta, GA · On-site

Applied Data Scientist Applied Research Group - Supply Chain Optimization About GAINS GAINS is on a ... Bachelor's degree in Computer Science, Statistics, Data Science, Engineering, Operations Research ...

Truist

Decision Scientist III

Atlanta, GA · On-site

... Computer Science, Applied Mathematics or Engineering • 2+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results • Must act as ...

New

Autodesk

Sr Principal Applied AI Engineer

Atlanta, GA · On-site

$120.70K - $166.40K/yr

Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Data Science, Information ... vision, applied AI, or related domains * Proven track record of building and shipping AI or ML ...

Truist

Decision Science Lead

Atlanta, GA

... Computer Science, Applied Mathematics or Engineering, or equivalent education and related training or experience 3. 4+ years of decision science/analytics project management experience with a diverse ...

Dematic

Sr Applied AI Engineer-Finance

Atlanta, GA · On-site

$113.63K - $174.23K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, Finance, or a related field. * 4-7+ years of proven experience in machine learning, data science, or applied AI ...

Kiongroup

Sr Applied AI Engineer-Finance

Atlanta, GA · On-site

$113.63K - $174.23K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, Finance, or a related field. * 4-7+ years of proven experience in machine learning, data science, or applied AI ...

Kiongroup

Sr Applied AI Engineer-Finance

Atlanta, GA

$113.63K - $174.23K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, Finance, or a related field. * 4-7+ years of proven experience in machine learning, data science, or applied AI ...

Hertz

VP Applied Data & Analytics

Atlanta, GA

$310K/yr

We are seeking a strategic and hands-on Vice President, Applied Data & Analytics to lead the design ... Bachelor's Degree in Data Science, Statistics, Computer Science, Engineering, or related field ...

Hertz

VP Applied Data & Analytics

Atlanta, GA · On-site

$310K/yr

We are seeking a strategic and hands-on Vice President, Applied Data & Analytics to lead the design ... Bachelor's Degree in Data Science, Statistics, Computer Science, Engineering, or related field ...

Cortland

Data Scientist - Atlanta, GA

Atlanta, GA

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 ...

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How much do applied computer science jobs pay per year?

As of May 28, 2026, the average yearly pay for applied computer science in Atlanta, GA is $69,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,084.00 and $95,533.00 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.
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Applied Computer Science jobs near you
Applied Data Scientist

Applied Data Scientist

GAINSystems

Atlanta, GA • On-site

Full-time

Posted 26 days ago

Job description

Applied Data Scientist
Applied Research Group - Supply Chain Optimization
About GAINS
GAINS is on a mission to make supply chains smarter, faster, and self-improving, powered by AI. Our decision intelligence platform doesn't just support decisions, it drives them by aligning strategy, planning, and execution across every level of the supply chain. We serve inventory-intensive industries where the stakes are high and the complexity is real, helping customers move from reactive, spreadsheet-driven planning to continuously learning, AI-led operations that deliver measurable results fast. At GAINS, we call it Moving Forward Faster- and it's not a tagline, it's how we're redefining what's possible in driving supply chain decisions.
About the Role
As an Applied Data Scientist on the Applied Research Group at GAINS, you will research, design, build, and deploy production ML models that directly improve supply chain outcomes for enterprise customers. This is a hybrid role that spans the full ML lifecycle-from exploratory analysis and model development through production deployment and ongoing performance tuning. Your work will address core supply chain problems where machine learning delivers measurable business value.
On any given week, you might be designing a new feature engineering approach, running experiments to evaluate alternative modeling techniques, debugging model drift for a specific customer, or building pipeline infrastructure to operationalize a new ML capability. You will collaborate closely with product managers, professional services, software engineers, and customer-facing teams to translate complex supply chain challenges into well-scoped ML solutions.
This is a hands-on IC role with high autonomy and direct impact on customer outcomes and revenue. You will own ML projects end-to-end-the science and the engineering.
A Day in the Life
  • Research, design, and develop machine learning models for supply chain applications that drive measurable improvements in operational efficiency and planning accuracy
  • Perform exploratory data analysis, statistical modeling, and feature engineering on large, complex supply chain datasets to identify signals and improve model performance
  • Design and run experiments to evaluate new modeling approaches, loss functions, feature sets, and hyperparameter configurations-interpreting results and translating findings into production improvements
  • Build and maintain robust ML pipelines that process, clean, and transform data from enterprise supply chain systems (SQL databases, APIs, ERP integrations)
  • Deploy and maintain models in cloud-based production environments, managing the full lifecycle from training through inference and monitoring
  • Implement model evaluation, drift detection, and monitoring frameworks to ensure reliability across diverse customer environments
  • Diagnose and resolve model performance issues for individual customers-investigating data quality, feature behavior, and distributional shifts
  • Partner with product managers, professional services, and engineering teams to understand customer problems and scope ML solutions appropriately
  • Communicate findings, model behavior, trade-offs, and recommendations clearly to both technical and non-technical stakeholders
  • Contribute to the team's technical direction on ML methodology, architecture, tooling, and best practices

Required Qualifications
  • Bachelor's degree in Computer Science, Statistics, Data Science, Engineering, Operations Research, or a related technical field; or equivalent professional experience
  • 3+ years hands-on experience in applied machine learning or data science roles, with models developed and deployed to production
  • Strong Python skills with experience writing clean, maintainable, production-grade ML code
  • 3+ years professional SQL experience, including complex queries against large enterprise datasets
  • Deep understanding of statistical and machine learning methods: gradient boosting (LightGBM, XGBoost, CatBoost), regression, decision trees, clustering, time series techniques, and model evaluation methodology
  • Experience with feature engineering for structured and tabular data, including domain-informed feature design, temporal feature construction, and feature selection techniques
  • Demonstrated ability to design experiments, evaluate model performance rigorously, and iterate on approaches based on empirical results
  • Experience building and maintaining ML pipelines-data ingestion, feature engineering, training, evaluation, deployment
  • Working knowledge of cloud-based ML infrastructure (Azure preferred; AWS or GCP acceptable)
  • Strong communication skills with the ability to explain model behavior, experimental results, and trade-offs to non-technical audiences
  • Self-directed with a track record of owning ML projects end-to-end-from problem formulation through production delivery-with minimal supervision

Preferred Qualifications
  • Master's or PhD in Computer Science, Statistics, Data Science, Engineering, Operations Research, or a related technical field
  • Experience in supply chain, operations, or logistics domains
  • Background in time series modeling, probabilistic methods, or optimization techniques applied to operational problems
  • Familiarity with Databricks, Spark, or similar distributed compute platforms for ML workloads
  • Experience with Azure services: Azure ML, Container Apps, App Configuration, DevOps pipelines
  • Experience working directly with enterprise customers to tune, validate, and explain model outputs in their specific business context
  • Experience with MLflow for experiment tracking and model versioning
  • Experience with Kafka or similar event streaming platforms for real-time data integration
  • Curiosity about the business processes your models serve and motivation to understand how supply chain decisions are actually made

Core Competencies
  • Customer Impact: Builds solutions with the end customer in mind-measures success by business outcomes, not model metrics alone
  • Analytical Depth: Goes beyond surface-level results to understand why models behave the way they do, especially when they fail-combines scientific rigor with practical problem-solving
  • Engineering Rigor: Writes production-quality code, designs reliable pipelines, and thinks about failure modes before they happen
  • Manages Complexity: Navigates messy real-world data and ambiguous problem definitions to deliver practical, scalable solutions
  • Communicates Effectively: Translates technical model behavior and experimental findings into clear narratives for product, services, and leadership audiences
  • Drives Results: Takes ownership, follows through on commitments, and delivers measurable improvements to customer outcomes

Technology Environment
Python, LightGBM, SQL, Azure (Container Apps, ML, DevOps), Databricks, Git/GitHub. Enterprise supply chain platform with SQL Server backends and REST APIs.
Why GAINS
- Work on software that leverages AI and ML to solve real logistics challenges for customers
- Direct impact on developer experience across the entire engineering org
- Collaborative, low-bureaucracy environment where engineers own their work end-to-end
- Competitive compensation and benefits
We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, veteran status or medical condition. We encourage people from all backgrounds to apply.

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