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Data Science R Jobs in Virginia (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ...

IC-CAP LLC

Data Scientist IV TALO094

Herndon, VA · On-site

... or R. * Possesses knowledge and experience of advanced analytics and data storage.Demonstrated oral and written communication skills. * Knowledge of various data science applications and ...

VTG

Data Scientist

Mclean, VA · On-site

... data science, artificial intelligence or machine learning * Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab * Demonstrated experience with producing analytic insights from large ...

VTG

Data Scientist with Security Clearance

Chantilly, VA · On-site

$105K - $215K/yr

... data science roles * Strong proficiency with Python or R and SQL * Experience with statistical ... analysis, modeling, or machine learning techniques * Strong written and verbal communication skills

VTG

Data Scientist

Chantilly, VA · On-site

... science or a related field * Strong proficiency in programming languages such as Python or R ... Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)

Peraton

Data Science Lead

Hampton, VA

$135K - $216K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine ... Experience with programming languages such as Python , R , or SQL . * Familiarity with data ...

Leidos

Data Scientist

Springfield, VA · On-site

Lead the development and operationalization of advanced data science, machine learning, and ... Python, R, SQL, and scientific computing libraries * Visualization and dashboarding tools * Model ...

Leidos

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... Python, R, SQL, and scientific computing libraries * Visualization and dashboarding tools * Model ...

Peraton

Data Science Lead

Hampton, VA · On-site

$135K - $216K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine ... Experience with programming languages such as Python , R , or SQL . * Familiarity with data ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following or equivalent: AWS, Spark, Kafka, Tableau, Python (e.g., TensorFlow and PyTorch), R (e ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following or equivalent: AWS, Spark, Kafka, Tableau, Python (e.g., TensorFlow and PyTorch), R (e ...

Peraton

Data Science Lead

Hampton, VA · On-site

$135K - $216K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine ... Experience with programming languages such as Python , R , or SQL . * Familiarity with data ...

Peraton

Data Scientist

Herndon, VA · On-site

$51K - $82K/yr

This role will serve as a hands-on data science solution developer, partnering with enterprise ... Demonstrated ability programming in Python, R, and/or Scala. * Must be able to obtain or have an ...

Peraton

Data Scientist

Herndon, VA · On-site

$51K - $82K/yr

This role will serve as a hands-on data science solution developer, partnering with enterprise ... Demonstrated ability programming in Python, R, and/or Scala. * Must be able to obtain or have an ...

Peraton

Data Scientist

Herndon, VA

$51K - $82K/yr

This role will serve as a hands-on data science solution developer, partnering with enterprise ... Demonstrated ability programming in Python, R, and/or Scala. * Must be able to obtain or have an ...

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Data Science R information

What is a Data Science R job?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What are the typical daily tasks for a Data Science R professional in most organizations?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Science R jobs in Virginia? The most popular types of Data Science R jobs in Virginia are:
What are popular job titles related to Data Science R jobs in Virginia? For Data Science R jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science R jobs in Virginia look for? The top searched job categories for Data Science R jobs in Virginia are:
Data Science R jobs near you
Infographic showing various Data Science R job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Junior Data Scientist

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Posted 16 days ago

Job description

Junior Data Scientist / Performance Data Analyst I
Location: Washington, DC / Hybrid / Government Facility as Required
Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred
Experience Level: 1-3 years
Role Summary
The Junior Data Scientist / Performance Data Analyst I supports a federal Management Information System program by helping collect, clean, validate, analyze, and visualize operational and performance data.
This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine learning, NLP, and statistical analysis skills who is ready to progress from research, healthcare, or academic data work into federal mission analytics.
Key Responsibilities
  • Collect, clean, validate, and analyze structured and semi-structured program data.
  • Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.
  • Develop and maintain Tableau dashboards, visual reports, charts, and performance summaries.
  • Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.
  • Assist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.
  • Translate complex datasets into clear summaries for non-technical stakeholders.
  • Document data sources, business rules, transformation logic, assumptions, and analytical methods.
  • Support recurring weekly, monthly, quarterly, and ad hoc reporting requirements.
  • Review model outputs and error patterns to recommend improvements to analytical workflows.
  • Collaborate with senior data scientists, program analysts, project managers, and government stakeholders.
Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.
  • 1-3 years of data science, data analytics, research analytics, BI, or machine learning project experience.
  • Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.
  • R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.
  • SQL experience for querying, joining, filtering, and preparing datasets.
  • Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience.
  • Experience with machine learning classification, NLP, model evaluation, or predictive analytics.
  • Ability to inspect model errors, validate outputs, and communicate improvement opportunities.
  • Strong Excel and Microsoft Office skills.
  • Ability to explain technical findings to non-technical stakeholders.
  • U.S. citizenship and ability to obtain required federal suitability/clearance.
Preferred Qualifications
  • Active Secret clearance or prior federal suitability.
  • Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.
  • Experience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.
  • Experience building client-facing dashboards or interactive data applications.
  • Experience with BERT, NLP, unstructured text, topic segmentation, or terminology data.
  • Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.
  • AWS, Git, Jupyter Notebook, or cloud analytics exposure.
Tools / Technologies
Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse, tidymodels, ggplot2, Shiny, NLP, BERT, dashboards, data visualization, statistical modeling.

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