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Applied 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 ... You will own ML projects end-to-end-the science and the engineering. A Day in the Life * Research ...

GAINSystems

Applied Data Scientist

Atlanta, GA · On-site

Applied Data Scientist Applied Research Group - Supply Chain Optimization About GAINS GAINS is on a ... You will own ML projects end-to-end--the science and the engineering. A Day in the Life * Research ...

Southern States LLC

Designer I

Hampton, GA

Associate's degree in applied science with a concentration in Computer Aided Drafting and Design (CADD), equivalent, or five years' related experience * Demonstrated AutoCAD experience * Applied ...

Cisco

Applied AI Scientist

Atlanta, GA

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

Varsity Tutors

Applied Mathematics Tutor

Alpharetta, GA · Remote

$18 - $40/hr

... science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

Johns Creek, GA · Remote

$18 - $40/hr

... science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

Roswell, GA · Remote

$18 - $40/hr

... science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

Marietta, GA · Remote

$18 - $40/hr

... science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

Duluth, GA · Remote

$18 - $40/hr

... science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

Woodstock, GA · Remote

$18 - $40/hr

... science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

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All JobsApplied Science JobsApplied Science Jobs in Atlanta, GA

Applied Science information

See Atlanta, GA salary details

$23.6K

$46.5K

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How much do applied science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for applied science in Atlanta, GA is $46,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $50,000.00 per year, depending on experience, location, and employer.

What is the career of applied science?

A career in applied science involves using scientific principles and research to develop practical solutions, products, or technologies across fields such as engineering, healthcare, or environmental science. Professionals in this field often work in laboratories, research facilities, or industry settings, utilizing skills in data analysis, experimentation, and technical tools. Advanced education and certifications may be required depending on the specialization.

What are some common challenges faced by professionals in Applied Science roles?

Professionals in Applied Science often encounter the challenge of translating complex data or scientific concepts into actionable business solutions that non-experts can understand and implement. Balancing rigorous scientific methodology with the practical constraints of project deadlines and stakeholder expectations is also common. Working cross-functionally with teams in engineering, product management, or business operations requires ongoing collaboration and clear communication. Successfully navigating these challenges helps ensure the impact and relevance of applied scientific work within an organization.

What is the job of an applied scientist?

An applied scientist conducts research to develop practical solutions by applying scientific principles and methods to real-world problems. They often work with data analysis, modeling, and experimentation, using tools like programming languages and laboratory equipment to innovate and improve products or processes.

What jobs can you do with applied science?

Applied science careers include roles such as research scientist, data analyst, quality control specialist, and product development engineer. These jobs often require strong problem-solving skills, knowledge of scientific methods, and proficiency with tools like laboratory equipment or data analysis software.

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

To excel in Applied Science, a strong background in mathematics, statistics, computer science, and domain-specific scientific knowledge is essential, typically supported by a relevant advanced degree. Familiarity with data analysis tools (such as Python, R, MATLAB), machine learning frameworks, and experience with statistical modeling or experimental design are highly valued. Critical thinking, problem-solving abilities, and effective communication skills are important soft skills for translating scientific insights into practical solutions. These skills and qualities are crucial for driving innovation, collaboration, and the successful application of scientific methods to solve complex, real-world problems.

What can I do with applied science in university?

A degree in applied science prepares students for careers in research, development, and technical roles across industries such as healthcare, manufacturing, and technology. Graduates often work as engineers, lab technicians, or product developers, utilizing skills in problem-solving, data analysis, and technical tools. Certifications and hands-on experience can enhance job prospects in this field.

What is an Applied Science job?

An Applied Science job involves using scientific principles and methodologies to solve real-world problems in various industries, such as technology, healthcare, and engineering. Professionals in this field apply research, data analysis, and experimentation to develop practical solutions and improve processes. These roles often require collaboration with engineers, product teams, and business stakeholders to implement innovations effectively.

What are the most commonly searched types of Applied Science jobs in Atlanta, GA? The most popular types of Applied Science jobs in Atlanta, GA are:
What are popular job titles related to Applied Science jobs in Atlanta, GA? For Applied Science jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Applied Science jobs in Atlanta, GA look for? The top searched job categories for Applied Science jobs in Atlanta, GA are:
Applied Science jobs near you
Infographic showing various Applied Science job openings in Atlanta, GA as of July 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $46,535 per year, or $22.4 per hour.
Applied Data Scientist

Applied Data Scientist

GAINSystems

Atlanta, GA • On-site

Full-time

Posted 24 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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