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Data Science Machine Learning Jobs in Atlanta, GA

United Airlines

Data Scientist

Atlanta, GA · On-site

Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI. * Promote responsible AI practices, including data ...

neptune technologies

Data Scientist

Duluth, GA · On-site

Responsibilities • Collaborate with team members to develop and deploy machine learning models and data science solutions. • Work with Product Management to understand requirements and translate ...

Neptune

Data Scientist

Duluth, GA · On-site

Responsibilities • Collaborate with team members to develop and deploy machine learning models and data science solutions. • Work with Product Management to understand requirements and translate ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field * 5-10 years of experience in data science, machine learning, and statistical analysis

neptune technologies

Senior Data Scientist

Duluth, GA · On-site

Experience • 5+ years of experience in data science, machine learning, or related analytical roles. • 5+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

Experience • 5+ years of experience in data science, machine learning, or related analytical roles. • 5+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn ...

FIS

Data Scientist

Atlanta, GA · On-site

Establish and promote best practices in data science, machine learning, feature engineering, experimentation, model governance, and MLOps throughout the organization. * Stay current on industry ...

Worldpay, Inc.

Data Scientist

Atlanta, GA

Establish and promote best practices in data science, machine learning, feature engineering, experimentation, model governance, and MLOps throughout the organization. * Stay current on industry ...

loomis

Data Scientist

Suwanee, GA · On-site

Technical Leadership & Collaboration Required Qualifications * 6+ years of professional experience in data science, machine learning, or advanced analytics * Advanced proficiency with Python and data ...

loomis

Data Scientist

Suwanee, GA · On-site

Technical Leadership & Collaboration Required Qualifications * 6+ years of professional experience in data science, machine learning, or advanced analytics * Advanced proficiency with Python and data ...

loomis

Data Scientist

Suwanee, GA · On-site

Technical Leadership & Collaboration Required Qualifications * 6+ years of professional experience in data science, machine learning, or advanced analytics * Advanced proficiency with Python and data ...

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All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Atlanta, GA

Data Science Machine Learning information

See Atlanta, GA salary details

$36.1K

$118K

$189K

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

As of Sep 2, 2026, the average yearly pay for data science machine learning in Atlanta, GA is $118,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 per year, depending on experience, location, and employer.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.

What are the key skills and qualifications needed to thrive as a data science machine learning professional?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a data science machine learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

Is data science machine learning a high paying job?

Data science and machine learning roles are generally high-paying within the tech industry due to the specialized skills required, such as programming, statistical analysis, and experience with tools like Python or TensorFlow. Salaries vary based on experience, location, and company size but tend to be above average compared to many other professions.
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,028 per year, or $56.7 per hour.

Senior Data Scientist in Atlanta, GA

ALTITUDE TECHNOLOGY SOLUTIONS

Atlanta, GA • On-site

Contractor

Posted 20 days ago

Job description

Position: Senior Data Scientist 
Location: Atlanta, GA
Experience: 12+ Years
 
Job Summary
We are looking for a highly experienced *Senior Data Scientist / Azure Data Scientist* with *12+ years of experience* in Data Science, Machine Learning, AI, and Advanced Analytics. The candidate should have strong hands-on expertise in *Python and Microsoft Azure* and experience delivering enterprise-level ML solutions.
 
Key Responsibilities
  • Design, develop, and deploy machine learning and AI solutions using *Python and Azure.
  • Analyze large datasets and develop predictive, classification, forecasting, and optimization models.
  • Build and manage ML pipelines using *Azure Machine Learning and Azure Databricks.
  • Perform data preprocessing, feature engineering, model development, validation, and optimization.
  • Develop production-ready ML solutions and implement *MLOps, CI/CD, and model monitoring*.
  • Work closely with Data Engineers, Software Engineers, Cloud teams, and business stakeholders.
  • Provide technical leadership and mentor junior data scientists.
  • Communicate analytical results and recommendations to technical and business stakeholders.
 
Required Skills
  • 12+ years of Data Science / Machine Learning experience
  • Strong hands-on *Python* programming
  • Strong *Microsoft Azure* experience
  • Azure Machine Learning*
  • Azure Databricks / PySpark*
  • Advanced *SQL*
  • Machine Learning, Statistical Modeling & Predictive Analytics
  • Scikit-learn, Pandas, NumPy, XGBoost / similar ML frameworks
  • Experience with *MLOps and ML model deployment*
  • Git, CI/CD and Azure DevOps
  • Strong communication and problem-solving skills
 
Preferred Skills
  • Generative AI / LLMs
  • Azure OpenAI
  • NLP and RAG
  • TensorFlow / PyTorch
  • Docker / Kubernetes
  • Azure Data Factory, Synapse, ADLS
  • Microsoft Azure Data Scientist certification (DP-100)
 
EDUCATION
Bachelor's or Master's degree in *Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field.
 
Key Requirements:
12+ Years | Python | Microsoft Azure | Azure ML | Machine Learning | SQL | Databricks | MLOps*