ZipRecruiter

Log In

1

Data Science R Jobs in Washington (NOW HIRING)

Bigbear.ai

Sr. Data Scientist

Washington, DC

$103K - $240K/yr

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 ...

VTG

Data Scientist

Mclean, VA · On-site

... 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 ...

VTG

Data Scientist with Security Clearance

Chantilly, VA · On-site

$105K - $215K/yr

... data science roles * Strong proficiency with Python or R and SQL * Experience with statistical ... analysis, modeling, or machine learning techniques * Strong written and verbal communication skills

BigBear.ai

Sr. Data Scientist

Washington, DC · On-site

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 ...

Blend360

Data Science Manager

Columbia, MD · On-site

Coordinate across data science, analytics, and operations teams to drive high-quality delivery and ... Proficiency with Python, R, or SQL for data analysis and automation * Experience with AI/ML tools ...

Bigbear.ai

Sr. Data Scientist

Washington, DC · On-site

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 ...

VTG

Data Scientist

Chantilly, VA · On-site

... 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)

Blend360

Data Science Manager

Columbia, MD

$125K - $160K/yr

Coordinate across data science, analytics, and operations teams to drive high-quality delivery and ... Proficiency with Python, R, or SQL for data analysis and automation * Experience with AI/ML tools ...

Blend360

Data Science Manager

Columbia, MD · On-site +1

$125K - $160K/yr

Coordinate across data science, analytics, and operations teams to drive high-quality delivery and ... Proficiency with Python, R, or SQL for data analysis and automation * Experience with AI/ML tools ...

Leidos

Data Scientist

Springfield, VA · On-site

Lead the development and operationalization of advanced data science, machine learning, and ... Python, R, SQL, and scientific computing libraries * Visualization and dashboarding tools * Model ...

SOSi

Data Scientist III

Washington, DC

This role is responsible for applying data science, machine learning, and data engineering ... Experience with programming languages including Python, JSON, C++, Java, R, or Scala * Experience ...

Leidos

Data Scientist

Springfield, VA · On-site

Lead the development and operationalization of advanced data science, machine learning, and ... Python, R, SQL, and scientific computing libraries * Visualization and dashboarding tools * Model ...

SOSi

Data Scientist III

Washington, DC · On-site

This role is responsible for applying data science, machine learning, and data engineering ... Experience with programming languages including Python, JSON, C++, Java, R, or Scala * Experience ...

next page

Showing results 1-20

All JobsData Science R JobsData Science R Jobs in Washington

Data Science R information

See Washington salary details

$42.5K

$139K

$222.6K

How much do data science r jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data science r in Washington 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? The most popular types of Data Science R jobs in Washington are:
What are popular job titles related to Data Science R jobs in Washington? For Data Science R jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science R jobs in Washington look for? The top searched job categories for Data Science R jobs in Washington are:
Data Science R jobs near you
Infographic showing various Data Science R job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.
Sr. Data Scientist

Sr. Data Scientist

Bigbear.ai

Washington, DC

$103K - $240K/yr

Full-time

Posted 20 days ago

Job description

Overview

BigBear.ai is seeking a Senior Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific techniques to correlate data into graphical, written, visual, and verbal narrative products to enable more informed analytic decisions. The successful candidate will proactively retrieve information from various sources, analyze it for better understanding, and assist with building AI tools that automate key processes. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the “ground level” of a new and exciting program with a critical Department of War (DoW) customer.

All applicants must currently reside in the United States.


Responsibilities

Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Perform statistical analysis, apply data mining techniques, and build high quality prediction systems. 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 Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Additionally, the candidate should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.


Qualifications

  • Must possess a TS/SCI clearance with a CI poly (or ability to obtain)

  • Bachelor’s degree in data science, data engineering, mathematics, or another related field

  • Minimum of 8 years of experience conducting analysis using data science or engineering, with at least a portion of experience within the last 2 years

  • Deep understanding and experience using Python, R, and/or SQL

  • Prior experience with large data, multi-INT analytics, machine learning, and automated predictive analytics