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Remote Data Science R Jobs in Washington (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 ...

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 ...

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 ...

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 ...

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 ...

Analytica

Data Scientist

Bethesda, MD · Remote

This role is remote for candidates outside the DMV area and hybrid for candidates located in the ... Minimum Requirements * Bachelor's degree in Data Science, Statistics, Applied Mathematics ...

Analytica

Data Scientist

Bethesda, MD · On-site +1

This role is remote for candidates outside the DMV area and hybrid for candidates located in the ... Minimum Requirements * Bachelor's degree in Data Science, Statistics, Applied Mathematics ...

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing ... for remote work to be determined by the program manager and customer. Essential Functions:

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Remote Data Science R information

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 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 Remote Data Science R jobs in Washington? For Remote Data Science R jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Data Science R jobs in Washington look for? The top searched job categories for Remote Data Science R jobs in Washington are:
What cities in Washington are hiring for Remote Data Science R jobs? Cities in Washington with the most Remote Data Science R job openings:
Remote Data Science R jobs near you
Data Scientist Lead - Remote / Telecommute

Data Scientist Lead - Remote / Telecommute

CYNET SYSTEMS

Reston, VA • Remote

$94/hr

Contractor

Posted 25 days ago

Job description

Job Overview:
  • Lead data science initiatives by applying advanced analytics, machine learning, and AI techniques to drive business insights and solutions.
  • Mentor team members and ensure delivery of scalable, high-quality data products aligned with organizational goals.

Responsibilities:

  • Lead data mining, data extraction, and application of algorithms to generate actionable insights.
  • Synthesize analytical findings and present insights to stakeholders and senior leadership.
  • Drive adoption and implementation of machine learning and AI solutions across the organization.
  • Apply AI techniques to solve business problems within data and resource constraints.
  • Mentor and develop junior data scientists to enhance analytical capabilities.
  • Translate business priorities into actionable data science deliverables.
  • Lead implementation of ML/AI/DS best practices for new data products.
  • Design and build scalable, robust data science solutions and software.

Required Qualifications:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field.
  • 8+ years of relevant data science or analytics experience.
  • In lieu of a degree, 12+ years of relevant experience.
  • Strong expertise in statistical modeling and analytical techniques.
  • Advanced proficiency in SQL across multiple syntaxes.
  • Experience with model evaluation, tuning, and performance optimization.
  • Ability to operationalize and scale data science solutions.
  • Strong communication and documentation skills.

Preferred Qualifications:

  • Expertise in a wide range of data science tools and frameworks.
  • Experience supporting data exploration and advanced analytics initiatives.
  • Proven ability to design and deploy scalable machine learning solutions.

Skills and Competencies:

  • Leadership and mentoring capabilities.
  • Strong analytical and problem-solving skills.
  • Ability to translate complex data into actionable insights.
  • Effective communication with technical and non-technical stakeholders.
  • Strategic thinking with a focus on business outcomes.
  • Ability to manage multiple priorities and deliver high-quality results.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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