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R Statistics Jobs in Virginia (NOW HIRING)

BWX Technologies, Inc.

Statistician

Lynchburg, VA

$66K - $101K/yr

Qualify measurement and inspection systems using statistical evaluations including gage R&R studies ... Bachelor's Degree in Statistics is required. Master's Degree is preferred. * Two or more years of ...

BWXT

Statistician

Lynchburg, VA · On-site

$66K - $101K/yr

Qualify measurement and inspection systems using statistical evaluations including gage R&R studies ... Bachelor's Degree in Statistics is required. Master's Degree is preferred. * Two or more years of ...

BWX Technologies

Statistician

Lynchburg, VA · On-site

$66K - $101K/yr

Qualify measurement and inspection systems using statistical evaluations including gage R&R studies ... Bachelor's Degree in Statistics is required. Master's Degree is preferred. * Two or more years of ...

Varsity Tutors

College Statistics Tutor

Fairfax, VA · Remote

$18 - $40/hr

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and visual simulations to support undergraduate students across all majors. * Effective Teaching Methods:

Varsity Tutors

College Statistics Tutor

Salem, VA · Remote

$18 - $40/hr

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and visual simulations to support undergraduate students across all majors. * Effective Teaching Methods:

Varsity Tutors

College Statistics Tutor

Norfolk, VA · Remote

$18 - $40/hr

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and visual simulations to support undergraduate students across all majors. * Effective Teaching Methods:

Varsity Tutors

College Statistics Tutor

Richmond, VA · Remote

$18 - $40/hr

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and visual simulations to support undergraduate students across all majors. * Effective Teaching Methods:

Varsity Tutors

College Statistics Tutor

Leesburg, VA · Remote

$18 - $40/hr

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and visual simulations to support undergraduate students across all majors. * Effective Teaching Methods:

Varsity Tutors

College Statistics Tutor

Blacksburg, VA · Remote

$18 - $40/hr

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and visual simulations to support undergraduate students across all majors. * Effective Teaching Methods:

Varsity Tutors

College Statistics Tutor

Alexandria, VA · Remote

$18 - $40/hr

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and visual simulations to support undergraduate students across all majors. * Effective Teaching Methods:

Varsity Tutors

Statistics Graduate Level Tutor

Norfolk, VA · Remote

$18 - $40/hr

Adapts instruction using R or Python statistical computing, research paper examples, and proof-based exercises to support masters and doctoral students across quantitative disciplines. * Effective ...

Varsity Tutors

Statistics Graduate Level Tutor

Fairfax, VA · Remote

$18 - $40/hr

Adapts instruction using R or Python statistical computing, research paper examples, and proof-based exercises to support masters and doctoral students across quantitative disciplines. * Effective ...

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All JobsR Statistics JobsR Statistics Jobs in Virginia

R Statistics information

What types of projects or data sets might I work with as an R Statistics professional?

As an R Statistics professional, you may work with a wide range of projects and data sets, including customer behavior analytics, health outcomes research, financial modeling, or experimental and survey data. Your daily responsibilities could include cleaning and transforming raw data, developing predictive models, running statistical tests, and generating reports or visualizations to share findings with clients or internal teams. Project scopes often depend on the industry, but collaboration with data engineers, business analysts, and subject matter experts is common to ensure analyses address real-world business challenges. Working with diverse data sets sharpens your ability to adapt your analytical approach and broadens your domain expertise, supporting continuous career development.

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

To thrive as an R Statistics professional, you need a solid understanding of statistical methods, data analysis, and proficiency in R programming, often supported by a degree in statistics, mathematics, or a related field. Familiarity with tools like RStudio, database management systems, and relevant data visualization libraries is highly beneficial, and certifications such as R programming certifications or data analytics courses can enhance employability. Critical thinking, problem-solving, and strong communication skills are essential for interpreting complex data and conveying insights to diverse stakeholders. These skills enable you to derive actionable conclusions from data, support business decision-making, and ensure robust, reproducible analysis processes.

What is an R Statistics job?

An R Statistics job involves using the R programming language for data analysis, statistical modeling, and visualization. Professionals in this role work with datasets to derive insights, create reports, and develop predictive models. Common industries include healthcare, finance, academia, and technology. Key skills include proficiency in R, data manipulation, statistical techniques, and knowledge of machine learning or data science concepts.

What are the most commonly searched types of R Statistics jobs in Virginia? The most popular types of R Statistics jobs in Virginia are:
What are popular job titles related to R Statistics jobs in Virginia? For R Statistics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching R Statistics jobs in Virginia look for? The top searched job categories for R Statistics jobs in Virginia are:
R Statistics jobs near you
Infographic showing various R Statistics job openings in Virginia as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Data Scientist - Tech - Top Secret required to apply - DC area

Bow Wave LLC

Reston, VA

Full-time

Re-posted 14 days ago

Job description

Conducts data analytics, data engineering, data mining, exploratory analysis, predictive

analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical,

written, visual and verbal narrative products, enabling more informed analytic decisions.

Proactively retrieves information from various sources, analyzes it for better understanding about

the data set, and builds AI tools that automate certain processes. Duties typically include:

creating various ML-based tools or processes, such as recommendation engines or automated

lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds

high quality prediction systems. Should be skilled in data visualization and use of graphical

applications, including Microsoft Office (Power BI) and Tableau; major data science languages,

such as R and Python; managing and merging of disparate data sources, preferably through R,

Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience

with large data Multi-INT analytics, ML, and automated predictive analytics.

Contractor shall:

• Create data packages, in the form of databases, reports, and visualization'

• Communicate ongoing data science activities, technical findings, and data products for both

technical and non-technical customers

• Extract relevant features from large data stores containing open source, PIA, and CAI,

containing bad records, partial records, errors, or other forms of "noising."

• Extract features from open source information stored in a wide range of possible formats,

including JSON, XML, raw text logs, industry-specific encodings, and graph link data;

• Apply natural language processing, computer vision, signal processing, and speaker and speech

recognition algorithms to identify objects in text, image, video, and audio files;

• Apply descriptive and inferential statistics to describe data and make

predictions about the data, including statistical tests to determine confidence for a hypothesis,

common summary statistics (e.g. mean, variance, and counts), fit distributions to datasets and

use those distributions to predict event likelihoods;

• Be able to execute data science method using parallel computing

frameworks (e.g. deepleaming4j, Torch, Tensor Flow, Caffe, Neon, NVIOFFICE CUDA Deep

Neural Network library (cuDNN), and OpenCV)) and distributed data processing frameworks

( e.g. Hadoop (including HDFS, Hbase, Hive, Impala, Giraph, Sqoop ), Spark (inlcuding MLib,

GraphX, SQL and Dataframes)

• Be able to execute data science method using common programming/scripting

languages: Python, Java, Scala, R (statistics).

Apply