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R Data Scientist Assistant Jobs in Virginia (NOW HIRING)

Write clear, well-structured documentation of methods, assumptions, and results; assist with ... knowledge of R is a plus. * Hands-on experience with data manipulation, feature engineering ...

The role involves collecting, analyzing, and modeling large data sets to assist in complex ... including R, Java, or SQL. • Experience with software development, including managing ...

Write either R or Python scripts to drive data science work: flows, have experience using SQL, and managing and merging of disparate data sources, preferably through R, Python or SQL; statistical ...

Data Scientist

Reston, VA

$113K - $188K/yr

Write clear, well-structured documentation of methods, assumptions, and results; assist with ... knowledge of R is a plus. * Hands-on experience with data manipulation, feature engineering ...

Responsibilities : • Assist with processing, cleaning, and transforming structured and ... R, SQL, SAS) and data visualization (Tableau, Power BI) tools • Ability to write clearly and ...

You Have: * 2+ years of experience using data science programming languages such as Python or R ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

You Have: * 2+ years of experience using data science programming languages such as Python or R ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04 ... Prior programming experience, preferably in Python or R, including data exploration, feature ...

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04 ... Prior programming experience, preferably in Python or R, including data exploration, feature ...

Master's Degree in Statistics, Data Science, Computer Science, or a related field * 4+ years of experience in SQL/Spark, R, Python * 4+ years of Experience building and applying machine learning or ...

... leveraging R or Python in data analysis libraries, including pandas, NumPy, scikit-learn, or ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

... leveraging R or Python in data analysis libraries, including pandas, NumPy, scikit-learn, or ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04 ... Prior programming experience, preferably in Python or R, including data exploration, feature ...

... leveraging R or Python in data analysis libraries, including pandas, NumPy, scikit-learn, or ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

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R Data Scientist Assistant information

What are the key skills and qualifications needed to thrive as an R Data Scientist Assistant, and why are they important?

To thrive as an R Data Scientist Assistant, you need a solid understanding of statistics, data analysis, and proficiency in the R programming language, often supported by coursework in data science or a related field. Familiarity with tools such as RStudio, data visualization packages like ggplot2, and version control systems like Git is typically expected. Strong attention to detail, critical thinking, and effective communication skills help you interpret data and work collaboratively with teams. These skills are crucial for ensuring accurate data analysis, efficient workflow, and actionable insights for business or research objectives.

What are the typical collaboration dynamics between an R Data Scientist Assistant and senior data scientists or analysts?

As an R Data Scientist Assistant, you will often work closely with senior data scientists and analysts, supporting them by preparing datasets, performing initial data cleaning, and conducting exploratory analyses using R. You may be responsible for creating reproducible scripts, visualizing results, and documenting your workflow. Regular meetings and code reviews are common, providing opportunities to learn best practices and receive feedback. This collaborative environment helps you build technical skills and understand how your contributions fit into larger data-driven projects.

What are R Data Scientist Assistants?

R Data Scientist Assistants are professionals who support data scientists by performing data cleaning, analysis, and visualization tasks using the R programming language. They help prepare datasets, create scripts, generate reports, and may assist in implementing machine learning models. Their role is crucial in ensuring data quality and streamlining the workflow, allowing data scientists to focus on more complex analyses. This position typically requires a strong foundation in statistics, programming in R, and good communication skills.

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

AspectR Data Scientist AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; familiarity with RBachelor's in Data, Statistics, Business, or related field; proficiency in data tools
Work EnvironmentResearch labs, tech companies, analytics teamsBusiness settings, marketing, finance, healthcare
Employer & Industry UsageTech firms, research institutions, analytics departmentsCorporations, consulting firms, government agencies
Common Search & ComparisonOften compared for entry-level data roles involving RCompared for data interpretation and reporting tasks

The R Data Scientist Assistant typically focuses on supporting data science projects using R, requiring programming skills and statistical knowledge. Data Analysts often handle data interpretation, reporting, and visualization across various industries. While both roles require analytical skills, the assistant role emphasizes programming and statistical modeling, whereas the analyst role centers on data reporting and business insights.

What are the most commonly searched types of R Data Scientist jobs in Virginia? The most popular types of R Data Scientist jobs in Virginia are:
What are popular job titles related to R Data Scientist Assistant jobs in Virginia? For R Data Scientist Assistant jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for R Data Scientist Assistant jobs? Cities in Virginia with the most R Data Scientist Assistant job openings:
Infographic showing various R Data Scientist Assistant job openings in Virginia as of May 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Temporary. Highlights an 87% In-person, and 13% Remote job distribution.
Data Scientist

Full-time

Posted 24 days ago


Job description

Data Scientist

Clearance: TS/SCI/FS Poly

Location: McLean VA

Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence, and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies.
We focus on recruiting talented, self-motivated employees that strive to find a way to get things done. Join our team of experts as we engineer national security!
Altamira is searching for a Data Scientist in Chantilly, VA.
Job Responsibilities:

  • Responsible for overall data science and data characterization technologies and will report to the on-site program manager.
  • Assess technology development and evaluate its operational usefulness and eventually demonstrate the technology capability through test and evaluation.
  • Results must be documented in writing and communicated both verbally and through multi-media methods to senior management.

Qualifications:

  • Knowledge of Defense intelligence all source analysis, Operations research / systems engineering and analysis Intelligence community databases and tools, non-Defense intelligence analysis, structured analytic techniques, and text exploitation and analytics
  • Expertise in advanced tools such as:  Mixed Mathematical Capabilities:  R Software w/extensive variety of modules (plugins - statistics, modeling, visualization), Text Analytics - IN-SPIRE, Jigsaw, Text/Data - Net Owl, Gate, and Mathematics Modeling - MATLAB.
  • A working knowledge with day-to-day data analysis tools are also necessary, Spreadsheet / Data - Excel s/Power plugins, Tableau, and Document Development-Word, MS Publisher.
  • An understanding and experience with visual and geospatial analysis is an added benefit for the senior data scientist:  Geospatial Analysis - OpenGeo, ArcGIS, GeoTime, Clavin, Visual Analytics - Vortek (Starlight), Visualization - Gephi, Word cloud tools, and Graphics Production - PowerPoint, Adobe Creative Suite, Photoshop, HTML5.
  • 5-10 years of experience or an advanced degree MS / Ph.D. 
  • Three years of experience in the intelligence community.
  • TS/SCI with FSP clearance