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

United Educators

Data Scientist

Bethesda, MD · On-site +1

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 ...

SAIC

Data Scientist

Springfield, VA · Remote

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 ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ... Integrate data science workflows with existing systems and applications to enable seamless data ...

Ex Parte, Inc

Senior Data Scientist

Bethesda, MD · On-site +1

Applied experience with SQL, also Python or R or Scala, and modern data science tools/packages e.g. PyTorch, Transformers, TensorFlow, scikit-learn * Applied experience with Databricks and/or Azure ...

DMI

Mid-Level Data Scientist

Washington, DC · On-site +1

S.) in Data Science, Computer Science, Statistics, Mathematics, or a related field * 3 to 10 years of experience in a data science or machine learning role * Fluency in Python and R, plus at least ...

DMI

Mid-Level Data Scientist

Washington, DC · On-site +1

S.) in Data Science, Computer Science, Statistics, Mathematics, or a related field * 3 to 10 years of experience in a data science or machine learning role * Fluency in Python and R, plus at least ...

Agile Defense

Data Scientist

Alexandria, VA · On-site +1

Remote | Falls Church, VA | Arlington, VA | DC Metro Clearance: Active DoD Secret (or ability to ... Implement core data science capabilities, such as entity resolution, classification, clustering, or ...

System One

Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

... REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. * Solid experience in data science, machine ...

Deltek, Inc.

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

13-Apr-2026 Data Scientist US (Remote) 10570BR Company Summary As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations ...

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All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Washington, DC

Remote Data Science R information

See Washington, DC salary details

$42.5K

$139K

$222.6K

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

As of May 31, 2026, the average yearly pay for remote 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 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 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 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 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:
What are popular job titles related to Remote Data Science R jobs in Washington, DC? For Remote Data Science R jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Data Science R jobs in Washington, DC look for? The top searched job categories for Remote Data Science R jobs in Washington, DC are:
Remote Data Science R jobs near you
Data Analyst with Security Clearance

Data Analyst with Security Clearance

People, Technology and Processes LLC

Arlington, VA • Remote

Other

Posted 2 days ago

Job description

Position Title : Data Analyst Location : Arlington, VA (Remote) Clearance Level : Secret Responsibilities will include, but are not limited to : Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making. Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis. * Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.

Perform geospatial analysis to support mission planning, resource allocation, and situational awareness. Conduct data mining and exploratory data analysis to extract insights from diverse military datasets. Qualifications Required qualifications * Bachelor's Degree in related field of study or equivalent experience.

Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models. Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers. * Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S.

Army organization and regulations, and strong organization and communication skills. Have a strong data science, machine learning, and statistical modeling background. Communicate complex technical findings to a variety of audiences.

  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.

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