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

Data Scientist Position Overview: We are seeking a Data Scientist to support reclassification ... Strong proficiency in programming languages such as Python or R. Experience with natural language ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Data Scientist

Quantico, VA · Remote

$150K - $225K/yr

... R, and SQL. Description : The Data Scientist will provide full-spectrum data science and data engineering support to a strategic intelligence mission. Ensure efficient and organized use of ...

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

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 ...

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 ...

The Data Scientist supports the Actuarial & Data Science Department's mission of advancing the use ... Proficiency in Python and SQL required, R experience a plus * Strong foundation in statistical ...

The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to ... A strong understanding of a statistical programming language such as R or Python * Expertise ...

Data Scientist

Mclean, VA · On-site +1

$125K - $160K/yr

Strong programming skills in SQL, Python, R, Scala, Java, or similar language * Experience using Python to manipulate large data sets * Experience with DevSecOps, as it applies to data science

Senior Data Scientist

Mclean, VA · Remote

$150K - $200K/yr

Senior Data Scientist PAY RANGE: $150,000 - $200,000 LOCATION: McLean, VA JOB SUMMARY : Are you ... We solve hard problems in remote sensing, AI-enhanced analytics, and sensor fusion-our work ...

This role is remote for candidates outside the DMV area and hybrid for candidates located in the ... Mentor junior analysts and data scientists in best practices for data science, forecasting, and ...

This role is remote for candidates outside the DMV area and hybrid for candidates located in the ... Mentor junior analysts and data scientists in best practices for data science, forecasting, and ...

Data Scientist About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

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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 9, 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:
Sr Data Scientist with Security Clearance

Sr Data Scientist with Security Clearance

System One Holdings, LLC

Washington, DC • Remote

$68.66/hr

Other

Posted 7 days ago


Job description

Sr Data Scientist
Type: Contract
Compensation: $68.66
Remote – offsite
Security Clearance: PUBLIC TRUST (Must be a US Citizen) Overview
Sr. Data Scientist | Remote | $68.66/hr | Public Trust Required Join a high-impact team leveraging advanced data science, AI/ML, and cloud technologies to solve complex research challenges. This role is ideal for an experienced Data Scientist with strong Python, SQL, machine learning, and statistical modeling expertise who enjoys turning large, complex datasets into actionable insights. You'll work closely with stakeholders, build scalable analytics solutions, and help drive data-informed decision-making in a fully remote environment. Remote
$68.66/hr
Public Trust Required (US Citizens Only)
Azure, Databricks & LLM Experience Preferred
Master's Required | PhD Preferred
PDS Certification Required Responsibilities
Partner with stakeholders to scope questions and assumptions, support solution design, and facilitate project execution
Design and implement robust data ingestion, storage, integration, processing, retrieval, and management strategies for research datasets
Build transparent, reproducible pipelines and analysis environments in cloud infrastructures
Produce exhibits and memos explaining methods, limitations, and uncertainty
Apply advanced statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science
Create compelling data visualizations and reports for both technical and non-technical stakeholders
Support econometric/causal inference workstreams, translating questions into testable hypotheses and clear findings
Design and execute rigorous studies including difference-in-differences, panel models, instrumental variables, time series, etc.
Mentor teammates on best practices in data science
Stay updated on academic research and industry advancements in data science, AI, and information systems Requirements
Master’s degree, PhD preferred in Statistics, Mathematics, or a related quantitative field, with 5–8+ years of applied data science experience
Proficiency in Python or R, and statistical tools such as Stata, SAS, with strong SQL skills
Expertise with ML algorithms including model selection, evaluation, and feature engineering
Experience applying AI and machine learning to structured and unstructured data for insights and performance optimization
Proficiency with data visualization tools such as Tableau, Matplotlib
Experience processing large datasets and deploying LLMs in cloud platforms (e.g., Azure ADLS/Databricks/Azure ML)
Knowledge of LLMs (e.g., Claude Code, ChatGPT), including tradeoffs in capabilities, cost, and performance
Strong problem-solving skills and critical thinking for complex research challenges
Exceptional communication skills, emphasizing rigor, clarity, and defensibility in analyses
Familiarity with FISMA/NIST/Zero Trust frameworks
Current Principal Data Scientist (PDS) Certification