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Junior Machine Learning Jobs in Georgia (NOW HIRING)

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

This role requires strong expertise in advanced analytics, machine learning, statistical modeling ... Mentor junior data scientists and analysts * Contribute to best practices and data science ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

This role involves advanced analytics, machine learning, and strong problem-solving skills to ... Provide guidance and mentorship to junior data scientists and analysts, fostering their ...

neptune technologies

Senior Data Scientist

Duluth, GA · On-site

... machine learning, AI, and data science best practices. • Mentor junior data scientists and disseminate technical knowledge within the organization. • Review code and model implementations of ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

... machine learning, AI, and data science best practices. • Mentor junior data scientists and disseminate technical knowledge within the organization. • Review code and model implementations of ...

4P Consulting Inc.

Data Scientist 2 4P/187

Atlanta, GA · On-site

This role requires advanced analytics, machine learning expertise, and strong problem-solving ... Provide guidance and mentorship to junior data scientists and analysts to support team development ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Mentor and develop junior data scientists, fostering a culture of technical excellence, innovation ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Mentor and develop junior data scientists, fostering a culture of technical excellence, innovation ...

Fisec Global

Gen AI Engineer

Atlanta, GA · On-site

Deploy machine learning models and ensure their effective integration into existing systems ... Experience mentoring junior colleagues and interns.

ARC Group

Sr. Data Scientist

Atlanta, GA · On-site

This is NOT a junior position nor a developer role , it is a need for a Data Scientist that will ... Recognize emerging machine learning and pattern recognition algorithms and work with the team to ...

Smarsh

Lead Data Scientist

Atlanta, GA · On-site

Client/prospect guidance in machine learning model and analytic fine-tuning/development processes * Provide guidance to junior team members on model development and EDA * Work with Product Manager(s ...

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

... machine learning to improve decision-making and business efficiency. You will oversee the ... Expected to take a lead role in guiding data strategy and mentoring junior data scientists or ...

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All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Georgia

Junior Machine Learning information

See Georgia salary details

$6

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How much do junior machine learning jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for junior machine learning in Georgia is $22.76, according to ZipRecruiter salary data. Most workers in this role earn between $13.80 and $28.03 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

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

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

What are popular job titles related to Junior Machine Learning jobs in Georgia?

For Junior Machine Learning jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning jobs in Georgia look for?

The top searched job categories for Junior Machine Learning jobs in Georgia are:

Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 21% Part Time, 6% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $47,343 per year, or $22.8 per hour.

Data Scientist II

4pconsultinginc

Atlanta, GA • On-site

Contractor

Re-posted 19 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