Responsibilities : • The Data Scientist Conducts data analytics, data engineering, data mining ... R, Python, or SQL; statistical analysis; and data mining algorithms. • Should have prior ...
Responsibilities : • The Data Scientist Conducts data analytics, data engineering, data mining ... R, Python, or SQL; statistical analysis; and data mining algorithms. • Should have prior ...
Responsibilities: • The Data ScientistConducts data analytics, data engineering, data mining ... as R and Python; managing and merging of disparate data sources, preferably through R, Python, or ...
Responsibilities: • The Data ScientistConducts data analytics, data engineering, data mining ... as R and Python; managing and merging of disparate data sources, preferably through R, Python, or ...
The Data ScientistConducts data analytics, data engineering, data mining, exploratory analysis ... as R and Python; managing and merging of disparate data sources, preferably through R, Python, or ...
The Data ScientistConducts data analytics, data engineering, data mining, exploratory analysis ... as R and Python; managing and merging of disparate data sources, preferably through R, Python, or ...
Freelance R Programming Language information
See Macon, GA salary details
$22.56 is the 25th percentile. Wages below this are outliers.
$14.29 - $24.52
31% of jobs
The median wage is $30.83 / hr.
$24.52 - $34.75
31% of jobs
$34.75 - $44.98
4% of jobs
$53.93 is the 75th percentile. Wages above this are outliers.
$44.98 - $55.21
10% of jobs
$55.21 - $65.43
9% of jobs
$65.43 - $75.66
5% of jobs
$75.66 - $85.89
0% of jobs
$85.89 - $96.12
8% of jobs
$96.12 - $106.34
0% of jobs
$106.34 - $116.57
0% of jobs
$116.57 - $126.80
1% of jobs
$14
$45
$126
How much do freelance r programming language jobs pay per hour?
As of Aug 19, 2026, the average hourly pay for freelance r programming language in Macon, GA is $45.75, according to ZipRecruiter salary data. Most workers in this role earn between $23.27 and $59.23 per hour, depending on experience, location, and employer.
What is a freelance R programmer?
A freelance R programmer is a professional who works independently, providing services related to the R programming language on a contract or per-project basis. They typically help organizations or individuals analyze data, build statistical models, visualize results, and develop custom R scripts or packages. Freelance R programmers often work remotely and may serve clients across various industries, including finance, healthcare, academia, and technology. Their flexible arrangements allow them to take on diverse projects, from data cleaning to advanced machine learning tasks.
What are the key skills and qualifications needed to thrive as a freelance R programmer?
To thrive as a Freelance R Programmer, you need strong statistical analysis, data manipulation, and coding skills in R, often supported by a degree in statistics, computer science, or a related field. Familiarity with RStudio, version control systems like Git, and relevant libraries such as tidyverse and Shiny is typically required. Excellent problem-solving, client communication, and time management skills help you stand out in this role. These abilities ensure you can deliver accurate, timely data solutions that meet client needs in a competitive freelance environment.
What are some common challenges freelance R programmers face when working with clients remotely?
Freelance R programmers often encounter challenges related to communication and project scope when collaborating remotely with clients. Since requirements can change or lack clarity, it's important to establish clear expectations and maintain regular updates through meetings or written summaries. Additionally, managing data privacy and access can be tricky, so freelancers should be prepared to use secure data-sharing tools and clarify ownership of scripts and results. Building strong communication skills and being proactive about project management can help overcome these hurdles and ensure successful client collaborations.
What is the difference between Freelance R Programming Language vs Data Analyst?
| Aspect | Freelance R Programming Language | Data Analyst |
|---|---|---|
| Required skills | Proficiency in R, statistical analysis, data visualization | Data manipulation, statistical analysis, reporting |
| Work environment | Independent, project-based, remote or on-site | Typically in organizations, team-based, office or remote |
| Certifications | R certifications, data analysis courses | Data analysis, business intelligence certifications |
| Industry usage | Freelance projects across various industries | Corporate, finance, healthcare, marketing |
Freelance R Programming Language professionals focus on independent projects requiring R skills, while Data Analysts work within organizations analyzing data to inform business decisions. Both roles require statistical knowledge, but their work settings and project types differ.
Are freelance R programming language programmers in demand?
Freelance R programming language programmers are in demand due to the growing need for data analysis, statistical modeling, and data visualization across industries such as finance, healthcare, and research. Skills in data manipulation, statistical packages, and experience with tools like RStudio increase employability in freelance roles, which often require strong analytical and programming expertise. The demand is expected to grow as data-driven decision-making becomes more prevalent.
Expert Data Scientist - Fort Gordon, Georgia (APOGEE)
Gordon, GA • On-site
Full-time
Re-posted 18 days ago
Job description
Job Summary:
Celestar Corporation is seeking a Data Scientist to support INSCOM under the Army Persistent Overhead Geospatial Intelligence (GEOINT) Exploitation Enterprise Support Services (APOGEE). The role involves conducting data analytics and building AI tools to enable informed analytic decisions and improve processes.
Responsibilities:
• The Data Scientist Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
• Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
• Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
• Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
• Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
• Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.
Qualifications:
Required:
• Active TS/SCI (within the last 5 years)
• MA or MS from an accredited institution of higher learning in a STEM-related discipline AND 5 years of relevant experience; OR BA/BS degree in a STEM-related discipline AND 10 years of relevant experience
• Demonstrated mastery and employment of geographic and geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience.
• Demonstrated experience and proficiency with data science techniques including (but not limited to) logistic regression, vector, natural language processing, principal component analysis, clustering techniques, neural networks, deep learning models, image recognition and algorithm employment or development in support of any of the foregoing.
• Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
• Familiarity with agile software development project management frameworks (e.g., Scrum, Kanban, Lean, etc.) to deliver new capability.
• Current/active TS/SCI clearance
Preferred:
• Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic, Confluence, etc.)
• Certification in AWS (AI/ML specialty).
• Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) production chain.
• Experience working within a DoD or Intelligence Community (IC) operational environment and with DoD/IC geospatial data repositories.
• Familiarity with Army, DoD or IC GEOINT or Geospatial processes, policy and programs.
• Experience with Microsoft Office tools to deliver reports, graphics and briefings.
Company:
Celestar, LLC is a wholly owned subsidiary of Bart & Associates, Inc. (B&A). Founded in 2015, the company is headquartered in Tampa, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Celestar Corporation is seeking a Data Scientist to support INSCOM under the Army Persistent Overhead Geospatial Intelligence (GEOINT) Exploitation Enterprise Support Services (APOGEE). The role involves conducting data analytics and building AI tools to enable informed analytic decisions and improve processes.
Responsibilities:
• The Data Scientist Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
• Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
• Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
• Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
• Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
• Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.
Qualifications:
Required:
• Active TS/SCI (within the last 5 years)
• MA or MS from an accredited institution of higher learning in a STEM-related discipline AND 5 years of relevant experience; OR BA/BS degree in a STEM-related discipline AND 10 years of relevant experience
• Demonstrated mastery and employment of geographic and geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience.
• Demonstrated experience and proficiency with data science techniques including (but not limited to) logistic regression, vector, natural language processing, principal component analysis, clustering techniques, neural networks, deep learning models, image recognition and algorithm employment or development in support of any of the foregoing.
• Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
• Familiarity with agile software development project management frameworks (e.g., Scrum, Kanban, Lean, etc.) to deliver new capability.
• Current/active TS/SCI clearance
Preferred:
• Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic, Confluence, etc.)
• Certification in AWS (AI/ML specialty).
• Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) production chain.
• Experience working within a DoD or Intelligence Community (IC) operational environment and with DoD/IC geospatial data repositories.
• Familiarity with Army, DoD or IC GEOINT or Geospatial processes, policy and programs.
• Experience with Microsoft Office tools to deliver reports, graphics and briefings.
Company:
Celestar, LLC is a wholly owned subsidiary of Bart & Associates, Inc. (B&A). Founded in 2015, the company is headquartered in Tampa, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About Celestar
Sourced by ZipRecruiter
Industry
Manufacturing
Company size
51 - 200 Employees
Headquarters location
Tampa, FL, US
Year founded
2001