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Data Science R Jobs in Pennsylvania (NOW HIRING)

Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles * Expertise in programming with Python, R, or SQL; hands-on experience with machine ...

D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field * 3+ ... Proficiency in programming languages such as Python or R * Experience working with large, complex ...

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Data Science R information

What is a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are the most commonly searched types of Data Science R jobs in Pennsylvania?

The most popular types of Data Science R jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Data Science R jobs?

Cities in Pennsylvania with the most Data Science R job openings:

Infographic showing various Data Science R job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

Philadelphia, PA โ€ข On-site

US General Services Administration
Public Administrationย โ€ขย 10K+ employees

$108K/yr

Full-time

Posted 11 days ago


Key responsibilities

  • Gather and compile data from various business data systems.

  • Design and implement data analyses using analysis tools and software.

  • Develop automated data solutions such as dashboards and visualizations.


Job description

The GSA Office of Inspector General (OIG) is seeking a highly motivated and qualified Data Scientist for our Cyber and Data Analytics team in the Office of Investigations.

We are currently fillingย one vacancy that will be located in one of the following locations, but additional vacancies may be filled as needed.
Washington, DC
Boston, MA
Chicago, IL
Fort Worth, TX
Kansas City, MO
Lakewood, CO
Philadelphia, PA
Tacoma, WA

Qualifications:

Starting Pay for all locations will be dependent upon the associated GS-Locality Pay Table for that area. If you are a new federal employee, your starting salary will likely be set at the Step 1 of the grade for which you are selected.ย ย 
BASIC REQUIREMENTS DATA SCIENTISTS: All candidates for Data Scientists must meet one of the following basic requirements.
A.ย Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B.ย Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
This position has a positive education requirement: Applicants must submit a copy of their college or university transcript(s) and certificates by the closing date of announcements to verify qualifications. If selected, an official transcript will be required prior to appointment.ย 

ADDITIONAL REQUIREMENTS TO QUALIFY AT THE GS-13 LEVEL: ย 
In addition to the Basic Requirements listed above, you must have one year of specialized experience equivalent to the GS-12 in the Federal service. Specialized experience is technical data analytics expertise in working with teams to develop data-driven solutions, products and definitions that address program and business challenges. This experience must include: Gathering and compiling data from a variety of business data systems; Consulting with diverse stakeholders and using analysis tools to design and implement data analyses; Using appropriate analytic and statistical software to programmatically prepare data for analysis and clean imperfect data; Translating data analyses into meaningful, easily understood communications; Conducting observational analyses using software and/or programming languages including R, Python, Microsoft Power BI, and SQL to explore/group data, test hypotheses, predict outcomes, and inform decisions; Developing automated data solutions (including dashboards and visualizations); and Providing input to management for decisions on an organization's enterprise data environment and/or data management practices.

Education:

Note: If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit:ย https://www2.ed.gov/about/offices/list/ous/international/usnei/us/edlite-visitus-forrecog.html

Employment Type: OTHER