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Computer Science Statistics Jobs (NOW HIRING)

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 ...

New

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 ...

Ph.D. in Data Science, Computer Science, Statistics, or a closely related field by the start date is required. * Expertise in one or more of the following areas: Cybersecurity, Al, machine learning ...

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 ...

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 ...

Associate Data Scientist

Arlington, VA

$67.90K - $68.50K/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 ...

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

AI and Data Science Lead

Lisle, IL ยท On-site

$191.20K - $286.80K/yr

Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and at ...

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

Associate Data Scientist

Pittsburgh, PA ยท On-site

$57.30K - $57.80K/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 ...

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

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Computer Science Statistics information

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$37.5K

$122.7K

$196.5K

How much do computer science statistics jobs pay per year?

As of Jun 3, 2026, the average yearly pay for computer science statistics in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.

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 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 cities are hiring for Computer Science Statistics jobs? Cities with the most Computer Science Statistics job openings:
What are the most commonly searched types of Computer Science Statistics jobs? The most popular types of Computer Science Statistics jobs are:
What states have the most Computer Science Statistics jobs? States with the most job openings for Computer Science Statistics jobs include:
Infographic showing various Computer Science Statistics job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 3% As Needed, 20% Full Time, 67% Part Time, and 9% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

Navstar

Chantilly, VA โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Scientist

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.

Data Scientist I
  • Support collection, cleaning, and preparation of structured and semiโ€‘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 nonโ€‘technical stakeholders
  • Support integration of analytics into operational or decisionโ€‘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 nonโ€‘technical stakeholders
  • Support integration of analytics into operational or decisionโ€‘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 cloudโ€‘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 cloudโ€‘based analytics environments, Experience with Agile delivery environments