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Computer Science Statistics Jobs in Virginia (NOW HIRING)

VTG

Data Scientist

Chantilly, VA

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 ...

Cmu

Data Scientist

Arlington, VA · On-site

Requirements: * BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training ...

VTG

Data Scientist

Chantilly, VA · On-site

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 ...

Cmu

Associate Data Scientist

Arlington, VA · On-site

$67K - $68K/yr

Requirements: * BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with three (3) years of experience or equivalent combination of training ...

VTG

Data Scientist

Mclean, VA

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

VTG

Data Scientist

Chantilly, VA

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

VTG

Data Scientist

Herndon, VA

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

VTG

Data Scientist

Mclean, VA

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

ANSER

Principal Computer Scientist

Reston, VA · On-site

Required : • TS/SCI with Poly Clearance • Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field. • A minimum of 20 years related experience in ...

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Computer Science Statistics information

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$37.2K

$121.7K

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How much do computer science statistics jobs pay per year?

As of Jul 1, 2026, the average yearly pay for computer science statistics in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a Computer Science Statistics job?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

Is computer science dead due to AI?

Computer science professionals continue to be essential as AI advances, focusing on developing algorithms, data structures, and software systems. AI creates new opportunities for computer scientists in areas like machine learning, data analysis, and automation, making the field dynamic and evolving rather than obsolete.

What profession makes $400,000 a year?

In the field of computer science, senior roles such as software engineering managers, data science directors, and specialized cybersecurity experts can earn $400,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. These positions often require advanced degrees, certifications, and a strong track record in high-demand areas like machine learning, cloud computing, or cybersecurity.

Is statistics useful for computer science?

Statistics is highly useful for computer science, especially in areas like data analysis, machine learning, and algorithms. It provides foundational knowledge for interpreting data, developing models, and making informed decisions in software development and research.

What are the most common projects or tasks for professionals in Computer Science Statistics roles?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What job makes $10,000 a month without a degree?

In computer science and related fields, roles such as freelance software developers, cybersecurity consultants, or data analysts can earn $10,000 or more per month through contract work, freelancing, or consulting. Success in these roles typically depends on skills, experience, and a strong portfolio, rather than formal degrees.

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

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

What are the most commonly searched types of Computer Science Statistics jobs in Virginia? The most popular types of Computer Science Statistics jobs in Virginia are:
What are popular job titles related to Computer Science Statistics jobs in Virginia? For Computer Science Statistics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Computer Science Statistics jobs in Virginia look for? The top searched job categories for Computer Science Statistics jobs in Virginia are:
Computer Science Statistics jobs near you
Data Scientist

Data Scientist

VTG

Chantilly, VA

Full-time

Posted 23 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 semistructured 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 nontechnical stakeholders

  • Support integration of analytics into operational or decisionsupport 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 nontechnical stakeholders
  • Support integration of analytics into operational or decisionsupport 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 cloudbased 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 cloudbased analytics environments, Experience with Agile delivery environments
Qualifications:
  • 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 cloudbased 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 cloudbased analytics environments, Experience with Agile delivery environments
Education:UNAVAILABLEEmployment Type: FULL_TIME

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