1

Internship Machine Learning R Jobs in Atlanta, GA

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 ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... R, and Hadoop. * Extensive experience with data wrangling, feature engineering, and model ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... R, and Hadoop. * Extensive experience with data wrangling, feature engineering, and model ...

... machine learning and artificial intelligence • Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations. • Mentor and guide interns on ...

... machine learning and artificial intelligence · Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations. · Mentor and guide interns on ...

... machine learning and artificial intelligence · Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations. · Mentor and guide interns on ...

... machine learning and artificial intelligence · Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations. · Mentor and guide interns on ...

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

Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Strong knowledge of machine learning algorithms and their applications. Experience with data visualization ...

Apply machine learning techniques for predictive modeling and forecasting * Validate models and ... Strong proficiency in Python, R, and SQL * Experience with data visualization libraries and tools ...

Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Data Scientist

Atlanta, GA · Remote

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

AWS Architect

Atlanta, GA · On-site

$62.50 - $82/hr

... Machine Learning Platforms including Public Cloud Offering • Experience with software development with Python, R, Scala, Java and open programming languages • Experience in using Scikit-learn ...

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Development of machine learning models and other analytics following established workflows, while ... Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R ...

Development of machine learning models and other analytics following established workflows, while ... Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R ...

Development of machine learning models and other analytics following established workflows, while ... Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R ...

next page

Showing results 1-20

Internship Machine Learning R information

See Atlanta, GA salary details

$24.5K

$41K

$84.6K

How much do internship machine learning r jobs pay per year?

As of Jul 10, 2026, the average yearly pay for internship machine learning r in Atlanta, GA is $40,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning R vs Data Analyst Intern?

AspectInternship Machine Learning RData Analyst Intern
Required SkillsProficiency in R, basic machine learning concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
Work EnvironmentResearch labs, tech companies, startups focusing on AI/ML projectsBusiness environments, consulting firms, marketing agencies
Industry UsagePrimarily in tech, AI, and data science sectorsAcross various industries including finance, marketing, and healthcare

Internship Machine Learning R focuses on applying R programming to develop machine learning models, often in tech and AI sectors. In contrast, Data Analyst Internships emphasize data visualization, statistical analysis, and reporting across diverse industries. Both roles require data handling skills but differ in their focus on machine learning versus data interpretation.

What cities near Atlanta, GA are hiring for Internship Machine Learning R jobs? Cities near Atlanta, GA with the most Internship Machine Learning R job openings:

Data Scientist II

4pconsultinginc

Atlanta, GA • On-site

Contractor

Re-posted 6 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