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Data Scientist Jobs in Georgia (NOW HIRING)

Deluxe Corporation

Data Scientist

Atlanta, GA · On-site

$85K - $90K/yr

Are you a data scientist who enjoys working directly with clients and making a direct and verifiable impact to their business and the success of your team? Come fill that role on a growing team of ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization's success. As a member of the Kemper Auto Data Science team, this position is responsible ...

STEMtech

Data Scientist

Atlanta, GA · On-site

Company Description We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products.

Elevance Health

Data Scientist

Atlanta, GA · Hybrid

Data Scientist Data Scientist Location: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity ...

Charter Global

Data Scientist

Atlanta, GA · Remote

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months Oversees and performs end-top-end data based research. Design data mining solutions to be implemented and executed with ...

Charter Global

Data Scientist

Atlanta, GA · On-site

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months • Oversees and performs end-top-end data based research. Design data mining solutions to be implemented and executed with ...

Munich RE

Data Scientist

Atlanta, GA · On-site

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Elevance Health

Data Scientist

Atlanta, GA · Hybrid

Data Scientist Location: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life ...

Crew Career Center

Data Scientist

Atlanta, GA · On-site

The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will ...

Kemper

Data Scientist

Alpharetta, GA · Hybrid

The Kemper Claims Data Science team has an immediate opening for a Data Scientist to make lasting impact through building and deploying predictive models and applied LLM-based solutions. Candidates ...

Patientco

Data Scientist

Atlanta, GA · On-site

The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will ...

4P Consulting Inc.

Data Scientist

Atlanta, GA

5-10 Years This role is for someone with advanced data analysis skills and a firm grasp of the scientific method. Must be proficient in statistics and at least one programming language (typically R ...

IRB USA Inspire Resources

Data Scientist

Atlanta, GA · On-site

$85 - $115/hr

Job Overview The Data Scientist performs analysis of multiple data sources using statistical analysis and computer science to solve business problems. Able to communicate analytical results to ...

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All JobsData Scientist JobsData Scientist Jobs in Georgia

Data Scientist information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data scientist in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.
More about Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Georgia?

The most popular types of Data Scientist jobs in Georgia are:

What are popular job titles related to Data Scientist jobs in Georgia?

For Data Scientist jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Scientist jobs in Georgia look for?

The top searched job categories for Data Scientist jobs in Georgia are:

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For Data Scientist jobs in GA, the most frequently searched job titles are:

Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

Data Scientist

Deluxe Corporation

Atlanta, GA • On-site

$85K - $90K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Key responsibilities

  • Develop data-driven solutions for clients by querying, cleaning, and analyzing large structured and unstructured data sets using tools such as SQL, Python, Pytorch, Pyspark, R, Spark, and Scala in a Cloud Native AWS environment.

  • Build and deploy machine learning and deep learning models, including ensemble techniques, unsupervised learning, and NLP, to meet business requirements and create scalable solutions.

  • Collaborate with data scientists and data engineering teams to solve complex business problems, contribute to product development, and support model deployment within an MLOps framework.

Deluxe rating

7.9

Company rating: 7.9 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

9th of 21 rated payment service providers

Job description

Why Join Us
Be part of an organization that's driving change and consistently recognized as a top employer. At Deluxe, we know that great people build great companies-and we invest in you accordingly.
  • We're proud to be recognized as a Great Place to Work and a top workplace for Moms, Dads, LGBTQ+ employees, and Veterans.
  • We offer competitive benefits starting on day one, designed to support your life both in and out of work.
  • 42% of our employees have stayed for 10+ years, citing our people, benefits, work-life balance, inclusive culture, and team support as key reasons why.

Are you a data scientist who enjoys working directly with clients and making a direct and verifiable impact to their business and the success of your team? Come fill that role on a growing team of data professionals serving large clients across the U.S.
The Data Scientist is responsible for leading the development of data-driven solutions for our clients. The role utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise
Responsibilities Include:
  • Querying, pre-processing, data cleaning, feature engineering and analyzing large amounts of structured and Unstructured data(terabytes/petabytes) across multiple data sources using structured query language(SQL), Python, Pytorch, Pyspark, R, Spark and Scala. In a Cloud Native AWS environment.
  • Deliver custom and commercial scalable solutions for internal and external customers. Combine business requirements and existing processes and data knowledge to create analytical solutions by building and deploying unsupervised and supervised machine learning and deep learning models. Including combining models using ensemble modeling techniques. Required to have knowledge and experience in unsupervised learning, principle component analysis(PCA), GLM, lasso/ridge regression, random forest, gradient boosted machines(GBM's), XGBoost, Baysian optimization, natural language processing(NLP) and deep neural networks/ back propagation.
  • Use advance statistical concepts for sampling, descriptive statistics, hypothesis testing, data quality, performance testing, attribution analysis, multi variate segmentation and recommender systems.
  • Collaborate with other data scientists to solve demanding and complicated business problems by applying machine learning, deep learning to large data sets. Partner with Data Engineering on product development(proof of concept to commercial product), SDLC and CI/CD pipelines to process data, train models, test predictions within a MLOPS framework all at scale and be able to provide requirements for deployment. Must be able to work within an agile framework.

Basic Qualifications:
Education and Experience : Bachelor's degree in C omputer Science, Math, Statistics, Machine Learning, Analytic, Data Science and 0 to 2 years experience.
Must be 18 years of age or older
Preferred Qualifications:
Education : Masters Degree in Computer Science or Statistics
Experience : 1 year in Data Science
Compensation
The compensation range for this position is $85,000.00 - $90,000.00 annually. This position will be eligible for commission or an annual performance incentive plan. The base pay actually offered will vary depending on job-related knowledge, skills, location, experience and take into account internal equity.
Benefits
In line with our commitment to employee wellbeing, our total rewards benefits package is designed to support the physical, financial, and emotional health of our employees, tailored to meet their unique and evolving needs. Our approach considers our employees' whole selves, ensuring they can thrive both in and outside of work. Here are some of the benefits we offer, which may vary based on role, location, or hours worked:
  • Healthcare (Medical, Dental, Vision)
  • Paid Time Off, Volunteer Time Off, and Holidays
  • Employer-Matched Retirement Plan
  • Employee Stock Purchase Plan
  • Short-Term and Long-Term Disability
  • Infertility Treatment, Adoption and Surrogacy Assistance
  • Tuition Reimbursement

These benefits are designed to enhance the health, protect the financial security, and provide peace of mind to our employees and their families.
Deluxe Corporation is an Equal Employment Opportunity employer:
All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, disability, sex, age, ethnic or national origin, marital status, sexual orientation, gender identity or presentation, pregnancy, genetics, veteran status or any other status protected by state or federal law.
Please view the electronic EEO is the Law Poster which serves to inform you of your equal employment opportunity protections as part of the application process.
Reasonable Accommodation for Job Seekers with a Disability: If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to deluxecareers@deluxe.com .

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