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Internship Machine Learning R Jobs in Jonesboro, GA

Revenue Analytics

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.

Revenue Analytics

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.

Avani Technology Solutions, Inc.

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 ...

Smarsh

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 ...

Smarsh

Lead Data Scientist

Atlanta, GA · On-site

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 ...

Smarsh

Lead Data Scientist

Atlanta, GA · On-site

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 ...

STEMtech

Data Scientist

Atlanta, GA

Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. * Experience with common data science toolkits, such as R, Weka, NumPy ...

STEMtech

Data Scientist

Atlanta, GA · On-site

Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. * Experience with common data science toolkits, such as R, Weka, NumPy ...

Patientco

Data Scientist

Atlanta, GA

... of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Understanding of orders of algorithms and how they scale * Demonstrated competency in R/Python ...

Crew Career Center

Data Scientist

Atlanta, GA

... of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Understanding of orders of algorithms and how they scale * Demonstrated competency in R/Python ...

Intuit

Senior Staff AI Scientist

Atlanta, GA · On-site

In this role you will be building and deploying machine learning models using both analytical ... R. * Efficient in SQL, Hive, SparkSQL, etc. * Comfortable working in a Linux environment

Intuit

Staff AI Scientist

Atlanta, GA · On-site

In this role you will be building and deploying machine learning models using both analytical ... R. * Efficient in SQL, Hive, SparkSQL, etc. * Comfortable working in a Linux environment

Intuit

Senior Staff AI Scientist

Atlanta, GA

In this role you will be building and deploying machine learning models using both analytical ... R. * Efficient in SQL, Hive, SparkSQL, etc. * Comfortable working in a Linux environment

Intuit

Staff AI Scientist

Atlanta, GA · On-site

In this role you will be building and deploying machine learning models using both analytical ... R. * Efficient in SQL, Hive, SparkSQL, etc. * Comfortable working in a Linux environment

Intuit

Staff AI Scientist

Atlanta, GA · On-site

In this role you will be building and deploying machine learning models using both analytical ... R. * Efficient in SQL, Hive, SparkSQL, etc. * Comfortable working in a Linux environment

Intuit

Senior Staff AI Scientist

Atlanta, GA · On-site

In this role you will be building and deploying machine learning models using both analytical ... R. * Efficient in SQL, Hive, SparkSQL, etc. * Comfortable working in a Linux environment

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All JobsMachine Learning R JobsInternship Machine Learning R JobsInternship Machine Learning R Jobs in Jonesboro, GA

Internship Machine Learning R information

See Jonesboro, GA salary details

$23.8K

$39.8K

$82.3K

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

As of Jul 11, 2026, the average yearly pay for internship machine learning r in Jonesboro, GA is $39,814.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $43,000.00 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 Jonesboro, GA are hiring for Internship Machine Learning R jobs? Cities near Jonesboro, GA with the most Internship Machine Learning R job openings:
Internship Machine Learning R jobs near you
Data Scientist

Data Scientist

Revenue Analytics

Atlanta, GA • Remote

$95K - $110K/yr

Full-time

Posted 16 days ago

Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like — turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

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-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
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.
  • Bachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.
 
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics’ next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
 
Visa sponsorship is not available for this role.  Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.