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Data Science R Jobs in Virginia (NOW HIRING)

... 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

Senior Data Analyst

Quantico, VA · On-site

$100 - $125/hr

Strong experience with scripting languages such as Python and R * Experience with data science, data mining, statistics, and graph algorithms * Proficiency with SQL, NoSQL, API development, ETL ...

... 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)

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

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

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 ...

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 ...

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

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

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

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 ...

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

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

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

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 ...

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 ...

Showing results 41-60

Data Science R information

What is a Data Science R?

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 does a Data Science R do?

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.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

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:

Infographic showing various Data Science R job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Scientist with Security Clearance

Chantilly, VA • On-site

$105K - $215K/yr

Other

Re-posted 3 days ago


Job description

Overview VTG is looking for a Data Scientist in Chantilly, VA. (Note: Contingent upon program award). Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision. Data Scientist II independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership. Data Scientist III independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership. What will you do? Data Scientist I * Support collection, cleaning, and preparation of structured and semi-structured data
* Assist with exploratory data analysis and basic statistical assessments
* Develop simple dashboards, visualizations, and analytical summaries
* Support documentation of data sources, assumptions, and methodologies
* Participate in analytic working groups and technical discussions
* Assist with maintaining data pipelines, scripts, and analysis artifacts
* Support coordination between data engineers, analysts, and mission stakeholders
Data Scientist II * Analyze large and complex datasets to identify trends, patterns, and insights
* Develop and apply statistical models or machine learning techniques as appropriate
* Design and maintain dashboards, visualizations, and analytic products
* Translate mission or business questions into analytic approaches and outputs
* Validate data quality, assumptions, and model results
* Present findings and recommendations to technical and non-technical stakeholders
* Support integration of analytics into operational or decision-support workflows
Data Scientist III * Analyze large and complex datasets to identify trends, patterns, and insights
* Develop and apply statistical models or machine learning techniques as appropriate
* Design and maintain dashboards, visualizations, and analytic products
* Translate mission or business questions into analytic approaches and outputs
* Validate data quality, assumptions, and model results
* Present findings and recommendations to technical and non-technical stakeholders
* Support integration of analytics into operational or decision-support workflows Do you have what it takes? * TS/SCI with Poly Required
Data Scientist I * 1-4 years of experience supporting data analysis or analytics projects
* Familiarity with Python, R, SQL, or similar analytical tools
* Familiarity with tools such as Jupyter, Tableau, Power BI, or similar
* Basic understanding of statistics and data visualization
* Strong analytical and communication skills
* Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
* Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission, operational, or enterprise data sets, Familiarity with tools such as Jupyter, Tableau, Power BI, or similar
Data Scientist II * 5-9 years of experience in data analytics or 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
* Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
* Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloud-based analytics environments, Experience with Agile delivery environments
Data Scientist III * Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field
* 10+ years of experience in data analytics or 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
* Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloud-based analytics environments, Experience with Agile delivery environments Pay Range: VTG's estimated starting pay range is $105,000 - $215,000 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range.