1

Data Analyst Machine Learning Jobs in Georgia (NOW HIRING)

This role requires strong expertise in advanced analytics, machine learning, statistical modeling, and data engineering principles. The ideal candidate is a strategic thinker who can translate ...

Machine Learning Engineer

Atlanta, GA ยท On-site

$120 - $165/hr

You will work closely with AI/ML researchers, data engineers, and product teams to design ... Familiarity with anomaly detection, fraud/risk modeling, or behavioral analytics. * Contributions ...

Machine Learning Engineer

Grovetown, GA ยท On-site

$70 - $110/hr

You'll build the data foundation that powers this work, implement and train models that bridge physicsโ€‘based simulation with modern machine learning, and work closely with an experienced technical ...

Machine Learning Engineer

Grovetown, GA ยท On-site

$70 - $95/hr

You'll build the data foundation that powers this work, implement and train models that bridge physics-based simulation with modern machine learning, and work closely with an experienced technical ...

Machine Learning Engineer

Atlanta, GA ยท On-site

$120 - $160/hr

We aim to create software that delivers real-time data to the entire supply chain that allows ... Job Summary We are seeking a highly skilled and motivated Machine Learning Engineer to join our ...

You'll build the data foundation that powers this work, implement and train models that bridge physics-based simulation with modern machine learning, and work closely with an experienced technical ...

As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory ... Apply advanced machine learning, predictive analytics, natural language processing (NLP), and ...

As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory ... Apply advanced machine learning, predictive analytics, natural language processing (NLP), and ...

Senior Data Science Analyst

Atlanta, GA ยท On-site

$82K - $104K/yr

Apply machine learning models (Random Forest, XGBoost) to predict performance and attrition outcomes from assessment data * Conduct ROI analyses demonstrating business impact (cost savings, quality ...

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 ...

Machine Learning Scientist

Alpharetta, GA ยท On-site

  • Medical

  • Dental

  • Vision

  • PTO

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Experience with data and analytics solution delivery that address strategic business problems

Machine Learning Scientist

Alpharetta, GA ยท On-site

  • Medical

  • Dental

  • Vision

  • PTO

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Experience with data and analytics solution delivery that address strategic business problems

Machine Learning Tutor

Athens, GA ยท Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Machine Learning Tutor

Augusta, GA ยท Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Showing results 21-40

Data Analyst Machine Learning information

See Georgia salary details

$28.7K

$69.8K

$114.8K

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

As of Aug 19, 2026, the average yearly pay for data analyst machine learning in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 per year, depending on experience, location, and employer.

What is a data analyst machine learning?

A Data Analyst Machine Learning job involves analyzing large datasets to extract insights and support decision-making using machine learning techniques. Professionals in this role clean, preprocess, and visualize data while building and evaluating predictive models. They work with programming languages like Python or R, use tools such as SQL and Tableau, and apply statistical methods to uncover patterns. This role bridges data analysis and machine learning by transforming raw data into actionable insights. Typically, they collaborate with data scientists, engineers, and business stakeholders to drive data-driven strategies.

What are the key skills and qualifications needed to thrive in the data analyst machine learning role?

To thrive as a Data Analyst Machine Learning, you need strong analytical skills, a background in statistics or mathematics, and experience in data preprocessing, model building, and evaluation. Familiarity with programming languages such as Python or R, experience with machine learning libraries (like scikit-learn or TensorFlow), and relevant certifications (such as Google Data Analytics or AWS Certified Machine Learning) are highly beneficial. Effective communication, problem-solving, and collaboration skills help distinguish top performers in this role. These abilities are crucial for transforming raw data into actionable insights, presenting findings clearly, and driving data-informed decisions in business settings.

What are the typical career progression opportunities for someone in a data analyst machine learning role?

Many professionals begin as Data Analysts with a focus on machine learning and, as they gain experience, can advance to roles such as Machine Learning Engineer, Data Scientist, or Analytics Manager. Career growth often involves taking on more complex projects, leading analytical teams, and contributing to strategic decision-making within the organization. Expanding your expertise in advanced machine learning techniques, big data tools, and business acumen can open doors to leadership positions. Additionally, working cross-functionally with engineering, product, and business teams provides valuable exposure and opportunities for further advancement.

What is the salary of data analyst in AI ML?

The average salary for a Data Analyst specializing in AI and Machine Learning typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with skills in Python, R, SQL, and machine learning tools tend to earn higher salaries, especially in tech hubs and companies focusing on AI projects.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Georgia?

The most popular types of Data Analyst Machine Learning jobs in Georgia are:

Infographic showing various Data Analyst Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $69,780 per year, or $33.5 per hour.

Data Scientist II

4pconsultinginc

Atlanta, GA โ€ข On-site

Contractor

Re-posted 15 days ago


Job description

Position: Data Scientist II


Location: 30 Ivan Allen Jr Blvd, NW, Atlanta GA, 30308 HYBRID
Duration:  1 Year

Client: Southern Company


Position Overview

The Data Scientist II is responsible for leveraging large and complex datasets to uncover insights, develop predictive models, and drive data-informed decision-making across the organization.

This role requires strong expertise in advanced analytics, machine learning, statistical modeling, and data engineering principles. The ideal candidate is a strategic thinker who can translate business challenges into scalable analytical solutions while mentoring junior team members.


Key Responsibilities

Data Analysis & Insight Generation

  • Collect, clean, and analyze complex datasets
  • Identify trends, patterns, and actionable insights
  • Apply statistical techniques to support data-driven decisions

Predictive Modeling & Machine Learning

  • Develop and deploy machine learning models to predict future trends and outcomes
  • Apply regression, clustering, classification, and advanced modeling techniques
  • Build and optimize algorithms such as:
    • Decision Trees
    • Random Forests
    • Neural Networks
    • Gradient Boosting models

Feature Engineering & Model Optimization

  • Engineer and select relevant features to improve model performance
  • Fine-tune model parameters and validate predictive accuracy
  • Ensure models are scalable and production-ready

Model Deployment & Production Support

  • Deploy machine learning models into production environments
  • Support real-time decision-making applications
  • Monitor model performance and retrain as needed

Data Visualization & Communication

  • Develop dashboards and visualizations using Tableau, Power BI, or Python libraries (Matplotlib, Seaborn, etc.)
  • Communicate insights effectively to technical and non-technical stakeholders

Hypothesis Testing & Experimentation

  • Design and analyze A/B tests
  • Conduct hypothesis testing and provide statistical validation
  • Measure business impact of changes and enhancements

Data Integration & Collaboration

  • Collaborate with IT and database teams to access and integrate data sources
  • Work with cross-functional teams (engineering, business analysts, domain experts)
  • Align data science initiatives with strategic business objectives

Governance & Ethics

  • Ensure ethical data practices and compliance with data privacy regulations
  • Maintain documentation and transparency in model development

Leadership & Development

  • Mentor junior data scientists and analysts
  • Contribute to best practices and data science methodologies
  • Stay current with emerging tools, technologies, and industry trends

Required Qualifications

  • 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
  • Proficiency in Python, R, or Julia
  • Strong understanding of machine learning algorithms and their applications
  • Experience with SQL and database querying
  • Experience with data visualization tools (Tableau, Power BI, or Python libraries)
  • Strong analytical, problem-solving, and critical-thinking skills
  • Excellent written and verbal communication skills

Preferred Qualifications

  • Master’s or Ph.D. in a quantitative field
  • Experience with big data technologies (Hadoop, Spark)
  • Experience with distributed computing frameworks
  • Experience deploying models in cloud environments