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Data Scientist Machine Learning Jobs in Georgia (NOW HIRING)

Athena Technology Group

ATG is an Equal Opportunity/Affirmative Action Employer Minorities/Females/Vets/Disability Job Summary We are seeking a Data Scientist / Machine Learning Engineer to support advanced analytics and ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

Data Scientist II Location: 30 Ivan Allen Jr Blvd, NW, Atlanta GA, 30308 HYBRID Duration: 1 Year ... This role requires strong expertise in advanced analytics, machine learning, statistical modeling ...

neptune technologies

Data Scientist

Duluth, GA · On-site

Position Summary As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform.

Neptune

Data Scientist

Duluth, GA · On-site

Position Summary As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform.

4P Consulting Inc.

Data Scientist 1

Atlanta, GA

As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with ...

SOLTECH

Data Scientist

Duluth, GA · On-site

Our client is seeking a Data Scientist to help power an innovative water utility intelligence ... In this role, you will develop and deploy machine learning models and advanced analytics solutions ...

neptune technologies

Senior Data Scientist

Duluth, GA · On-site

Position Summary As a Senior Data Scientist, you will be responsible for designing and implementing machine learning models and data-driven solutions that enhance our water utility intelligence ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques. * Data ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

Position Summary As a Senior Data Scientist, you will be responsible for designing and implementing machine learning models and data-driven solutions that enhance our water utility intelligence ...

Elevance Health

AI Machine Learning Scientist

Atlanta, GA · On-site +1

AI Machine Learning Scientist AI Machine Learning Scientist Location: This role requires associates ... Will work closely with engineering, product, data science, and business teams to translate complex ...

ARC Group

Sr. Data Scientist

Atlanta, GA

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a ... Recognize emerging machine learning and pattern recognition algorithms and work with the team to ...

iNovex Information Systems

Data Scientist 2

Augusta, GA · On-site

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 ...

Prophecy Technologies

Data Scientist

Atlanta, GA · On-site

Design and implement predictive models and machine learning algorithms to solve business problems ... Big data ecosystems (Hadoop). Required Qualifications: * 8+ years of experience in data science.

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Georgia

Data Scientist Machine Learning information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do data scientist machine learning jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data scientist machine learning 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 is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

Is ML a high paying job?

Data Scientist Machine Learning roles are generally well-paid due to the specialized skills required, such as programming in Python or R and knowledge of algorithms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for expertise in machine learning and data analysis.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require advanced analytical skills, domain expertise, and the ability to interpret complex models. Jobs that involve creative thinking, emotional intelligence, and tasks requiring human judgment—such as healthcare professionals, educators, and skilled trades—are also expected to remain resilient despite AI advancements.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Georgia? The most popular types of Data Scientist Machine Learning jobs in Georgia are:
What are popular job titles related to Data Scientist Machine Learning jobs in Georgia? For Data Scientist Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Georgia look for? The top searched job categories for Data Scientist Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Data Scientist Machine Learning jobs? Cities in Georgia with the most Data Scientist Machine Learning job openings:
Data Scientist Machine Learning jobs near you
Data Scientist / Machine Learning Engineer

Data Scientist / Machine Learning Engineer

Athena Technology Group

On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago

Job description

Employment Type: Regular, Full-Time
Shift:
About the Company
Athena Technology Group, Inc. (ATG) is a Service-Disabled Veteran Owned Small Business (SDVOSB) focused on Information Technology and Communications consulting, system engineering, integration, deployment and operation of state of the art command and control and information systems that deliver critical network centric solution to the warfighter. With a proven track record of technical support to our customers, we are looking for innovative industry professionals to join our team.
ATG is an Equal Opportunity/Affirmative Action Employer Minorities/Females/Vets/Disability
Job Summary
We are seeking a Data Scientist / Machine Learning Engineer to support advanced analytics and data science initiatives at Fort Eisenhower, GA under the IAE program. The selected candidate will develop and deploy machine learning models, process large-scale structured and unstructured data, and provide actionable insights to support mission-critical operations.
Key Responsibilities

  • Curate and develop structured and unstructured data foundations in coordination with stakeholders
  • Process modeling data and perform advanced analytics
  • Apply machine learning, natural language processing, and network analysis techniques
  • Develop innovative approaches to analyze large-scale unstructured datasets
  • Process and index high-volume and high-velocity data streams
  • Develop Python-based tools and packages for data analysis and machine learning applications
  • Deploy and maintain notebook-based data science environments such as JupyterHub
  • Visualize data insights using multi-dimensional analytical tools
Qualifications
Required:
  • Active TS/SCI clearance with CI Poly and ability to obtain MEAD SIP clearance
  • Bachelor's degree with 10+ years of experience, Master's with 3-6+ years, or equivalent experience
  • Strong Python development experience with data science and machine learning libraries (pandas, scikit-learn, PyTorch/TensorFlow, matplotlib/plotly, networkx)
  • Experience with supervised and unsupervised machine learning, NLP, and network analysis
  • Experience maintaining and deploying JupyterHub or similar environments
  • Strong background in mathematics, statistics, engineering, or physics
  • Experience analyzing complex datasets and delivering actionable insights
Desired:
  • IAM Level I certification
  • Experience with high-performance computing environments
  • Experience supporting DoD or intelligence community analytics programs
Physical and Environmental Conditions
Normal Office Environment. Requires Sitting, Standing, Near Acuity, Speaking with colleagues and customers, Listening, Sight, Use of hands/fingers.
Additional Benefits
  • Performance Bonuses and annual salary reviews
  • Health, dental, and vision insurance
  • Short Term Disability, Long Term Disability, and Life Insurance
  • 401(k) plan with company match
  • Opportunities for professional growth and development
  • A collaborative and inclusive work environment

EEO Statement
ATG is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law.

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