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Remote Data Science R Jobs in Ashburn, VA (NOW HIRING)

As Manager I, Data Science, you will work with a team of analysts, data scientists, and engineers ... Advanced understanding of a statistical programming language such as R or Python * Experience ...

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Bachelor's degree in relevant field (mathematics, statistics, data science, or computer science) * Proficiency in Python and SQL required, R experience a plus * Strong foundation in statistical ...

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Showing results 1-20

Remote Data Science R information

See Ashburn, VA salary details

$38.3K

$125.5K

$200.9K

How much do remote data science r jobs pay per year?

As of Jun 5, 2026, the average yearly pay for remote data science r in Ashburn, VA is $125,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $139,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What cities near Ashburn, VA are hiring for Remote Data Science R jobs? Cities near Ashburn, VA with the most Remote Data Science R job openings:
Senior Data Scientist - Object Based Intelligence (OBI) Analytic Efficiency

Senior Data Scientist - Object Based Intelligence (OBI) Analytic Efficiency

Peraton

Reston, VA • On-site, Remote

Full-time

Posted 2 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

37th of 203 rated it services


Job description

Responsibilities

The Senior Data Scientist - Object Based Intelligence (OBI) Analytic Efficiency utilizes expertise in discovering and analyzing complex data sets and data sources to derive actionable insights using statistical methods, machine learning and data visualization tools. This position will focus on OBI Analytic Efficiency Responsibilities are, but are not limited to: 

Data Science specifically: 

  • Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. 
  • Utilize scientific techniques to correlate data into graphical, written, visual and verbal narrative products to inform high quality analytic decisions. 
  • Proactively retrieve data from various sources and analyze data for better understanding. 
  • Build and utilize Artificial Intelligence (AI)/ Machine Learning (ML) tools to automate processes for efficiencies. 
  • Build high quality prediction systems. 
  • Utilize data visualization and graphical applications, to include Microsoft Office (Power BI) and Tableau. 
  • Utilize major data science languages, such as R and Python. 
  • Perform management and merging of disparate data sources, preferably through R, Python, or SQL.  
  • Perform statistical analysis, and data mining algorithms. 

OBI specifically: 

  • Design, develop, and evaluate leading-edge algorithmic intelligence concepts, practices, and technologies for implementation into OBI. 
  • Recommend advanced statistical or mathematical techniques and methodology that may permit identification and evaluation of alternatives. 
  • Assist in model formulation or experimental test design. 
  • Share joint in team responsibility for development of advanced analytic techniques and assessments. 
  • Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies. 
  • Automate ontologies and associated components to ensure semantic accuracy, relevance, and interoperability. 
  • Evaluate data science, AI/ML, and other advanced analytic methods for risks, biases, and limitations. 
  • Collaborate with team members to develop and refine semantic data retrieval and reasoning across knowledge graphs through development and optimization of data queries via multiple protocols (e.g. GraphQL, SPARQL, SHACL, SQL). 
  • Maintain currency with independent research on methods of analysis in government, industry, and academia to keep abreast of the state of the art and keep senior leadership informed. 
  • Provide incremental enhancements to tools, capabilities, processes, and methods. 
  • Advisor on emerging data science methods, tools, algorithms, training, or requirements. 
  • 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. 
  • Ensure compliance with tradecraft standards and adherence to best practices in AI system development and deployment. 
  • Assess OBI documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to owners and developers. 
  • Provide consultation and guidance to owners, developers, and stakeholders on OBI governance and knowledge modeling, including best practices for AI system development, testing, and deployment. 
  • Collaborate with team members to identify and implement practices for responsible AI development, to include bias detection, hallucination recognition, prompt fairness testing, adherence to analytic tradecraft standards and security policies. 
  • Support stakeholders in translating technical documentation into analytic tradecraft compliant language. 
  • Support and automate entity recognition and extraction summarization, in accordance with analytic tradecraft standards. 
  • Conduct audits to ensure compliant use of systems for approved use-cases in all source analysis 
  • Develop and maintain a repository of audit findings and recommendations to facilitate knowledge sharing and best practices. 
  • Provide technical input into and participate in the development of software and computer graphics systems. 
  • Writes scripts to drive data science workflows. 
  • Work with ambiguous information, deconstruct key questions, leverage spatial data, exploit application programming interfaces, suggest methodologies, and develop data schemas to structure observations. 
  • Work with vendors and software development to implement distributed algorithms. 
Qualifications

Required Qualifications: 

  • Bachelor's degree in a relevant field, such as Data Science, with a minimum of 17 years of experience or Master's degree with a minimum of 12 years of work experience. 
  • Professional or graduate certificate in Data Science from a university or major online learning platform, 
  • Experience in data visualization and use of graphical applications, including Microsoft Office Power BI and Tableau. 
  • Experienced in major data science languages, such as R and Python. 
  • Experienced in managing and merging disparate data sources, preferably through R, Python, or SQL. 
  • Experienced in statistical analysis and developing data mining algorithms. 
  • Experienced with large data multi-INT analytics, ML, and automated predictive analytics. 
  • Experienced in algorithm development, data structures, and software development practices. 
  • Experienced 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. 
  • Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions. 
  • Ability to work collaboratively with users and stakeholders. 
  • Capacity to adapt to changing situations to prioritize tasks effectively. 
  • Excellent communication, analytical, and problem-solving skills. 

Preferred Qualifications: 

  • Master's degree in a relevant field, such as Data Science. 
  • Experience working in the customer environment is preferred. 

Security Clearance:  

This Position requires an Active TS/SCI and the ability to obtain a Poly, US Citizenship is required to hold this clearance.  

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017