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Data Science R Jobs in Washington, DC (NOW HIRING)

Write either R or Python scripts to drive data science work: flows, have experience using SQL, and managing and merging of disparate data sources, preferably through R, Python or SQL; statistical ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ...

Required : • 5+ years of experience using data science programming languages, such as Python or R • Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and ...

The successful candidate 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 ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ...

... or R. * Possesses knowledge and experience of advanced analytics and data storage.Demonstrated oral and written communication skills. * Knowledge of various data science applications and ...

... data science, artificial intelligence or machine learning * Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab * Demonstrated experience with producing analytic insights from large ...

The successful candidate 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 ...

... science or a related field * Strong proficiency in programming languages such as Python or R ... Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)

Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following or equivalent: AWS, Spark, Kafka, Tableau, Python (e.g., TensorFlow and PyTorch), R (e ...

Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following or equivalent: AWS, Spark, Kafka, Tableau, Python (e.g., TensorFlow and PyTorch), R (e ...

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Data Science R information

See Washington, DC salary details

$42.5K

$139K

$222.6K

How much do data science r jobs pay per year?

As of Jun 6, 2026, the average yearly pay for data science r in Washington, DC is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a Data Science R job?

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 are the typical daily tasks for a Data Science R professional in most organizations?

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.

What are the most commonly searched types of Data Science R jobs in Washington, DC? The most popular types of Data Science R jobs in Washington, DC are:
Infographic showing various Data Science R job openings in Washington, DC as of May 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Part Time. Highlights an 70% In-person, 10% Hybrid, and 20% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.
Senior Data Scientist

Senior Data Scientist

Prescient Edge

Herndon, VA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago


Job description

Job Title
Senior Data Scientist
Location
Reston, VA 20170 US (Primary)
Category
Intelligence
Job Type
Full-Time
Career Level
Staff
Education
Master's Degree
Travel
Security Clearance Required
TS/SCI with CI Polygraph
Job Description
Prescient Edge is seeking a Senior Data Scientist to support a Federal government client. As a Senior Data Scientist, you will:
  • Conduct 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 retrieve information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
  • Typically include creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
  • Perform statistical analysis, applies data mining techniques, and builds high quality prediction systems.
  • 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.
  • Have had prior experience with large data MultiINT analytics, ML, and automated predictive analytics.
  • Provide incremental enhancements to tools, capabilities, processes, and methods.
  • Possess in-depth knowledge and experience in using data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
  • Write either R or Python scripts to drive data science work: flows, have experience using SQL, and managing and merging of disparate data sources, preferably through R, Python or SQL; statistical analysis; and data mining algorithms.
  • Possess prior experience with large data. spatial data, Multi-INT analytics, ML, and automated predictive analytics.
  • Work with ambiguous information, deconstruct key questions, leverage spatial data, exploit application programming interfaces, suggest methodologies, develop data schemas to structure observations.
  • Required to have working knowledge of coding and scripting, information science, mathematics, machine learning, visual analytic modeling tools, and relevant Standard Operating Procedures (SOPs) to create repeatable, widely applicable procedures to support all-source intelligence analysis and production.
  • Create and work in distributed analytic environments, scaling algorithms to work on increasingly large and complex datasets that are larger than RAM.
  • Serve as the primary POC for data science expertise, ensuring tradecraft compliance and analytic standards as it relates to data science techniques on the contract.
  • Provide advice on emerging data science methods, tools, algorithms, training, or requirements to advance DRI-7's analytic edge in its use of data science.
  • Work with DRI-7 vendors and the software developers to implement distributed algorithms to work on increasingly large and complex data sets.
  • Possess a professional or graduate certificate in data science from a university, major online learning platform (all business for Data Scientists at any experience level).

Benefits:
At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best in class benefits package that includes:
  • A competitive salary with performance bonus opportunities.
  • Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
  • A substantial retirement plan with no vesting schedule.
  • Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
  • A positive work environment where employees are respected, supported, and engaged.

Job Requirements
Security Clearance
  • Active TS/SCI with a CI Poly ot the ability to obtain a CI Poly.

Desired Experience
  • Desired Experience: Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.

Desired Education
  • Desired Education: Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have bachelor's degree related to the category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master's degree.

Location
  • Reston, VA.

Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.

Prescient Edge logo

About Prescient Edge

Sourced by ZipRecruiter

Prescient Edge is a prominent name in the global security industry, based out of McLean, VA, US. Established with the primary mission of harnessing science and technology for safety and security purposes, the company specializes in providing a wide range of products and services. This includes research and development, consulting, global operations support, intelligence evaluation, and advanced data solutions. These offerings make Prescient Edge an integral factor in national defense and commercial innovations.

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

McLean, VA, US

Year founded

2008

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