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Data Scientist R Remote Jobs in Silver Spring, MD

SAIC

Senior Data Scientist

Springfield, VA · Remote

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 ...

SAIC

Senior Data Scientist

Springfield, VA · Remote

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 ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

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.

Parsons

Senior Data Scientist

Springfield, VA · Remote

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

Gritter Francona

Lead Data Scientist

Washington, DC · On-site +1

... 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 ...

Govini

Forward Deployed Data Scientist

Arlington, VA · On-site +1

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 Silver Spring, MD salary details

$38.8K

$126.9K

$203.1K

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

As of May 30, 2026, the average yearly pay for data scientist r remote in Silver Spring, MD is $126,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $140,600.00 per year, depending on experience, location, and employer.

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.

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 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.

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 Silver Spring, MD? For Data Scientist R Remote jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Silver Spring, MD look for? The top searched job categories for Data Scientist R Remote jobs in Silver Spring, MD are:
Data Scientist R Remote jobs near you
Remote Data Scientist | Advanced Analytics & ML

Remote Data Scientist | Advanced Analytics & ML

Elder Research

Arlington, VA • On-site, Remote

Full-time

Posted 7 days ago

Job description

Elder Research Inc in Arlington, Virginia is seeking a Data Scientist to support U.S. Customs and Border Protection. The ideal candidate will possess at least six years of relevant experience and an advanced degree in a quantitative field.Responsibilities include applying statistical analysis and machine learning to transform raw data into actionable insights.

The role allows remote work but candidates must be based in the National Capital Region.Elder Research emphasizes continuous learning, teamwork, and a supportive work environment with flexible hours and competitive pay.J-18808-Ljbffr

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