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Data Science Machine Learning Jobs in Atlanta, GA

GAINSystems

Data Science Intern

Atlanta, GA · On-site

Data Science / Machine Learning 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 ...

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 ...

SOLTECH

Data Scientist

Duluth, GA · On-site

Key Responsibilities Design, develop, and deploy machine learning models and scalable data science solutions Partner with Product Management to translate business requirements into analytical ...

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 ...

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Data Science Machine Learning information

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$36.1K

$118K

$189K

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

As of May 28, 2026, the average yearly pay for data science machine learning in Atlanta, GA is $118,028.00, 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 are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?

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 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 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.

What are popular job titles related to Data Science Machine Learning jobs in Atlanta, GA? For Data Science Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Data Science Machine Learning jobs in Atlanta, GA look for? The top searched job categories for Data Science Machine Learning jobs in Atlanta, GA are:
Data Science Machine Learning jobs near you
Azure Data scientist

Azure Data scientist

R2 Technologies Corporation

Atlanta, GA • On-site

Full-time

Posted 4 days ago

Job description

Overview:
Role: Azure Data scientist
Location: Atlanta GA
#Role is on-site, Must relocate
Must w2 Role
should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure. Additionally, you should have knowledge of optimizing language models for AI applications using Azure AI.
Your responsibilities for this role include:
  • Designing and creating a suitable working environment for data science workloads.
  • Exploring data.
  • Training machine learning models.
  • Implementing pipelines.
  • Running jobs to prepare for production.
  • Managing, deploying, and monitoring scalable machine learning solutions.
  • Using language models for building AI applications.

Skills:
Azure,Data Science,Machine Learning

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