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Data Scientist R Remote Jobs in Georgia (NOW HIRING)

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Architect

Warner Robins, GA · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0243613 Location: Warner Robins,GA,US Share job via: Share Data ... Bachelor's degree in Computer Science, Data Science, or Information Technology Nice If You Have:

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... Collaborate with analytics, data science, and ML project teams to productionize AI-enabled ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

... Science, Information Management or Statistics Skills: SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data ...

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Showing results 41-60

Data Scientist R Remote information

What is a data scientist R remote?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

What are the key skills and qualifications needed to thrive as a data scientist R remote?

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

How does a remote data scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

What is the difference between Data Scientist R Remote vs Data Analyst R Remote?

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What cities in Georgia are hiring for Data Scientist R Remote jobs?

Cities in Georgia with the most Data Scientist R Remote job openings:

Infographic showing various Data Scientist R Remote job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

South Fulton, GA • Remote

$90 - $120/hr

Part-time

Posted 22 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.