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

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC ® is a premier Fortune ...

Apply expert knowledge of industry-standard data science principles to identify anomalous events ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description ? SAIC is a premier Fortune 500 ...

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ... Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis.

... Lead Data Scientist to help support a potential project to assist this objective. Key ... Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data ...

We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in ... Remote. This role may require up to 50% travel. Scope of Responsibilities * Developing new AI ...

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Data Scientist R Remote information

See Washington, DC salary details

$42.5K

$139K

$222.6K

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

As of Jun 8, 2026, the average yearly pay for data scientist r remote 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 Data Scientist R Remote jobs?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

How does a remote Data Scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

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

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

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

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What are popular job titles related to Data Scientist R Remote jobs in Washington, DC? For Data Scientist R Remote jobs in Washington, DC, the most frequently searched job titles are:

Data Analysts & Data Scientists

@Orchard

Washington, DC • Remote

Full-time

Posted 7 days ago


Job description

Data Analysts/Data Scientists

Talent Pool for upcoming assignments

Remote, Work-from-Home

Must be a U.S. Citizen able to obtain Secret Clearance.

@Orchard LLC is anticipating a need for several Data Analysts & Data Scientists to support the Federal Government on several remote assignments. Our objective is to identify qualified and interested prospects so that we are ready to react rapidly as needs arise. You will need to be a US citizen with the ability to obtain a clearance.

Your responsibilities as a Data Analyst or Data Scientist

  • Develop analytical models, forecasts, and statistical analyses
  • Build reusable datasets and semantic layers
  • Translating complex data into decision-support insights
  • Apply tools like Python/R for modeling and analysis
  • Deliver client-facing data solutions in federal environments
  • Translate business needs into production-grade technical systems
  • Operate in Agile teams and support the full delivery lifecycle
  • Develop audit-ready documentation, SOPs, and technical artifacts
  • Contribute to Iberia’s internal platforms, accelerators, and innovation

Your background will include.

  • Experience in data analytics, data science, and/or software development roles.
  • Proficiency in Python and SQL
  • Strong problem-solving skills and technical execution ability
  • Ability to operate effectively in client-facing consulting environments
  • Experience supporting federal or regulated environments

Preferred Knowledge, Skills, & Abilities.

  • Experience with NLP, LLMs, or advanced analytics
  • Experience with cloud environments (Azure, AWS, GCP)
  • API development and system integration
  • Familiarity with data governance, auditability, and secure data handling

Compensation: Compensation for this role will be determined based on the role level, plus your experience and qualifications. The expected base salary range is between $120K, & $230K. Generous benefits, bonus eligibility, and significant professional development support are all available.

Established in 2010, @Orchard has an exceptional reputation, providing staffing solutions to time-sensitive, talent scarcity issues to deliver better talent management ROI. Our specialty lies in the critical area of program talent acquisition and resource management, not in one narrow skillset, but across many areas of technical and functional delivery. To learn more about our other exciting opportunities, visit our Jobs Page at www.atorchard.com.