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Data Science Jobs in Georgia (NOW HIRING)

His/her responsibility will be to define data science standards, uncover areas in which data science can drive business value, and provide guidance to the team of data scientists on how to best apply ...

This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...

This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...

This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...

His/her responsibility will be to define data science standards, uncover areas in which data science can drive business value, and provide guidance to the team of data scientists on how to best apply ...

We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera ...

Advanced proficiency with Python and data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow/Torch) * Strong SQL skills and experience working with messy, incomplete, high-volume ...

This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...

Agentic AI, AI & Data Science Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Share Agentic AI, AI & Data Science Engineer with Facebook Share Agentic AI, AI & Data Science Engineer with LinkedIn Share Agentic AI, AI & Data Science Engineer with Twitter Caution against ...

This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role requires ...

Contribute to the development of data science methodologies, frameworks, and best practices * Document processes, models, and standards to support scalability and reuse across teams Educational ...

Contribute to the development of data science methodologies, frameworks, and best practices * Document processes, models, and standards to support scalability and reuse across teams Educational ...

You will collaborate with Product Management and Engineering teams to translate business requirements into data science solutions, mentor junior data scientists, and drive Neptune's AI transformation ...

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

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Data Science information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do data science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data science 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.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Georgia? The most popular types of Data Science jobs in Georgia are:
What cities in Georgia are hiring for Data Science jobs? Cities in Georgia with the most Data Science job openings:
Infographic showing various Data Science job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, 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.
Sr. Data Scientist

Sr. Data Scientist

STEMtech

Atlanta, GA โ€ข On-site

Full-time

Re-posted 12 days ago


Job description

Company Description
STEMtech has a client in the Atlanta area looking for an Sr. Data Scientist who will have the opportunity to build and manage a team of Data Scientists who will have an instrumental role in achieving the organizations goals. His/her responsibility will be to define data science standards, uncover areas in which data science can drive business value, and provide guidance to the team of data scientists on how to best apply data science techniques. In addition, he/she will be responsible for applying advanced statistical analysis tools and techniques to explain operating behaviors, understand complex relationships between known and unknown drivers of performance, and build algorithms using advanced descriptive and prescriptive methods. Lastly, he/she will also inform on needed tools and capabilities to industrialize insights into day-to-day ways of working that drive real tangible operational enhancements.
Job Description
  • Collaborates with translators and understands business problems to implement scalable and sustainable solutions
  • Coordinates with SMEs, translators, IT and data engineers to deliver holistic analytical solutions
  • Designs, creates, tests and implements complex models and algorithms that drive analytical solutions throughout the organization
  • Translate or interpret findings for non-analytical or statistically adept colleagues
  • Write reports articulating the analytics insights and their business impacts
  • Conduct and led meetings and workshops to explain findings
  • Supports Translators in communicating the design, functioning and output of the analytical models/solutions developed
  • Manage and direct data science team to accomplish technical goals and develop data insights
  • Provides guidance and supervision to Data Scientists on data science best practices and Novelis data science standards

Qualifications
  • 12+ years of experience in IT or a business function, 5 or more of which is specific to data science
  • Master's degree or other advanced degree in information technology, computer science, data science, or related quantitative discipline (e.g. advanced statistical analysis)
  • Experience leading a team of data scientists with responsibility for hiring, coaching, and developing direct staff
  • Experience with object oriented design, coding and testing, engineering software platforms
  • Proficiency in aggregation of large data sets, statistical analysis tools
  • Expert knowledge of data modeling and understanding of different data structures
  • Understanding of advanced applied mathematics in AA, artificial intelligence and array operations
  • Comfort in using SQL Server, PostgreSQL/ MySQL, and R
  • Knowledge of programming languages (R, PHP, Python)
  • Able to build a sense of trust and rapport that creates a comfortable & effective workplace
  • Experience in industrial industry applications or process industries (chemicals, energy, petroleum refining, mining) preferred

Additional Information
All your information will be kept confidential according to EEO guidelines.