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Data Scientist R Remote Jobs in Georgia (NOW HIRING)

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

... 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 ...

RELX

Sr. Fraud Data Analyst (Remote USA)

Alpharetta, GA · On-site +1

$94K - $157K/yr

This role can be remote in the US with the ability to support EST as needed. Responsibilities ... Develop and maintain scalable analytical scripts (e.g., SQL, Python, R) to automate data extraction ...

Worth AI

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 ...

kgs

Data Analyst I

Atlanta, GA · On-site +1

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools ... Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ...

Aimpoint Digital

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117K - $155K/yr

... data science workflow to drive business results preferred * Consulting experience strongly preferred * Willingness to travel We are actively seeking candidates for full-time, remote work within the ...

Aimpoint Digital

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117K - $155K/yr

... data science workflow to drive business results preferred * Consulting experience strongly preferred * Willingness to travel We are actively seeking candidates for full-time, remote work within the ...

Booz Allen Hamilton

Data Management Analyst

Atlanta, GA · On-site +1

As part of our team, you'll work with world-class scientists, technical experts, and public health ... Experience supporting or developing programs involving digital health technologies, such as remote ...

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Data Scientist R Remote information

What are Data Scientist R Remote jobs?

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.

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 are the key skills and qualifications needed to thrive as a Data Scientist (R, Remote), and why are they important?

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.

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 are popular job titles related to Data Scientist R Remote jobs in Georgia? For Data Scientist R Remote jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Georgia look for? The top searched job categories for Data Scientist R Remote jobs in Georgia are:
What cities in Georgia are hiring for Data Scientist R Remote jobs? Cities in Georgia with the most Data Scientist R Remote job openings:
Data Scientist R Remote jobs near you
Data Analyst

Data Analyst

KGS Technology Group Inc

Alpharetta, GA • On-site, Remote

Full-time

Posted 25 days ago

Job description

Company Description
Job Description
Full-Time
We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
Responsibilities
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities Requirements And Skills
• Proven working experience as a Data Analyst or Business Data Analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer 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 architecture, data management, statistics, business intelligence, data quality
Qualifications
Additional Information
Full-time

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