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Freelance Data Scientist Machine Learning Jobs in Georgia

VeeRteq Solutions Inc.

Data Scientist

Johns Creek, GA · On-site

Data Scientist Location: Johns Creek GA (Hybrid) . Job Summary We are seeking a highly analytical ... The ideal candidate will leverage statistical analysis, machine learning, and data mining ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

FIS

Data Scientist Lead

Atlanta, GA

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

Cherokee Federal

Data Scientist

Atlanta, GA · On-site

$90K - $95K/yr

Data Scientist I The Data Scientist I provides data science, statistical, and advanced analytical ... Apply machine learning, artificial intelligence (AI), predictive modeling, and prescriptive ...

Cherokee Federal

Data Scientist

Atlanta, GA · On-site

$80 - $100/hr

Data Scientist I The Data Scientist I provides data science, statistical, and advanced analytical ... Apply machine learning, artificial intelligence (AI), predictive modeling, and prescriptive ...

Socket.dev

Data Scientist

Atlanta, GA · On-site

$80 - $100/hr

Data Scientist I The Data Scientist I provides data science, statistical, and advanced analytical ... Apply machine learning, artificial intelligence (AI), predictive modeling, and prescriptive ...

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 into actionable product recommendations to present internally and externally. They will lead ...

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 into actionable product recommendations to present internally and externally. They will lead ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA · On-site

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 ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$100 - $125/hr

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast ...

Loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

TriNet Group, Inc.

Senior Data Scientist

Atlanta, GA · On-site

$125 - $150/hr

Stay current on emerging data science, machine learning, and AI technologies and apply them when appropriate. * Technical Delivery * Lead the execution of complex data science projects from problem ...

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

Freelance Data Scientist Machine Learning information

What is the difference between Freelance Data Scientist Machine Learning vs Freelance Data Analyst?

AspectFreelance Data Scientist Machine LearningFreelance Data Analyst
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, visualization, basic statistical analysis
Tools & TechnologiesTensorFlow, scikit-learn, Jupyter, cloud platformsExcel, Tableau, SQL
Work EnvironmentProject-based, consulting, remote or client sitesRemote, freelance consulting, client reports
Industry UsageTech, finance, healthcare, e-commerceMarketing, retail, finance, healthcare

Freelance Data Scientist Machine Learning professionals focus on developing predictive models and algorithms using advanced techniques, often requiring programming and statistical expertise. Freelance Data Analysts handle data interpretation, visualization, and reporting, typically with less technical complexity. Both roles are in high demand but differ in skill level, tools, and project scope.

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:

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For Freelance Data Scientist Machine Learning jobs in Georgia, the most frequently searched job titles are:

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Freelance Data Scientist Machine Learning jobs near you
Infographic showing various Freelance Data Scientist Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Scientist

Johns Creek, GA • On-site

VeeRteq Solutions Inc.
See more jobs at VeeRteq Solutions Inc.external

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job description

Job Title: Data Scientist
Location: Johns Creek GA (Hybrid) .
 

Job Summary

We are seeking a highly analytical and motivated Data Scientist to join our team. The ideal candidate will leverage statistical analysis, machine learning, and data mining techniques to derive actionable insights from complex datasets. The candidate will work closely with business stakeholders, data engineers, and product teams to develop predictive models, optimize business processes, and support data-driven decision-making.

Key Responsibilities
  • Analyze large, complex datasets to identify trends, patterns, and business opportunities.
  • Develop, validate, and deploy machine learning and statistical models.
  • Design and implement predictive and prescriptive analytics solutions.
  • Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
  • Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
  • Create dashboards, visualizations, and reports to communicate findings effectively.
  • Monitor model performance and continuously improve model accuracy and efficiency.
  • Conduct A/B testing and hypothesis testing to support business initiatives.
  • Work with structured and unstructured data from multiple sources.
  • Stay updated on emerging data science, AI, and machine learning technologies and best practices.
Required Skills & Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • Strong proficiency in Python and/or R.
  • Experience with SQL and database technologies.
  • Hands-on experience with machine learning libraries such as Scikit-Learn, TensorFlow, PyTorch, or XGBoost.
  • Strong understanding of statistics, probability, and predictive modeling.
  • Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
  • Knowledge of cloud platforms such as AWS, Azure, or GCP.
  • Experience with big data technologies such as Spark, Hadoop, or Databricks is a plus.
  • Excellent problem-solving, communication, and stakeholder management skills.
Preferred Qualifications
  • Experience in healthcare, life sciences, finance, retail, or relevant industry domains.
  • Knowledge of Generative AI, LLMs, NLP, and MLOps frameworks.
  • Experience deploying machine learning models in production environments.
  • Familiarity with Git, CI/CD pipelines, Docker, and Kubernetes.