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Computer Science Statistics Jobs (NOW HIRING)

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in ...

Cmu

Data Scientist

Pittsburgh, PA · 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 ...

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

$105K - $215K/yr

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 ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Educational qualifications should be Computer Science/Statistics/Mathematics or a related area. * Experience of acting as a people lead for > 5 years At Walmart, we offer competitive pay as well as ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Educational qualifications should be Computer Science/Statistics/Mathematics ora related area. * Experience of acting as apeoplelead for >5years At Walmart, we offer competitive pay as well as ...

Cmu

Senior Data Scientist

Pittsburgh, PA · On-site

Requirements: * BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with ten (10) years of experience or equivalent combination of training ...

IFABCORP

Data Scientist

Gastonia, NC · On-site

Required : • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master's preferred) • Proven experience in data analysis, machine learning, or ...

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

Tuskegee University

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 ...

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 ...

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Computer Science Statistics information

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$37.5K

$122.7K

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How much do computer science statistics jobs pay per year?

As of Aug 13, 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.

Do computer science statisticians make a lot of money?

Computer science statisticians typically earn competitive salaries, especially with advanced skills in data analysis, programming, and statistical software. Salaries vary based on experience, education, and location, but the field generally offers strong earning potential compared to many other roles in technology and data science.

What is a computer science statistics?

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 jobs do most computer science statistics majors get?

Computer science statistics majors often find employment as data analysts, data scientists, machine learning engineers, and software developers. These roles typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools. Many positions are available in technology, finance, healthcare, and consulting industries.

Is statistics useful in computer science?

Statistics is highly useful in computer science, especially for data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills in many computer science roles.

What do computer science statistics professionals do?

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 skills and qualifications are needed for computer science statistics?

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.

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What cities are hiring for Computer Science Statistics jobs?

Cities with the most Computer Science Statistics job openings:

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What states have the most Computer Science Statistics jobs?

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Computer Science Statistics jobs near you
Infographic showing various Computer Science Statistics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Associate Data Scientist

Software Engineering Institute | Carnegie Mellon University

Arlington, VA • On-site

$68K - $68K/yr

Full-time

Re-posted 18 days ago

Job description

Job Summary:
Carnegie Mellon University's Software Engineering Institute is seeking an Associate Data Scientist to leverage advanced statistics and machine learning in addressing cybersecurity challenges for government and industry clients. The role involves collaborating with elite professionals to develop prototype solutions, conduct research, and present findings at conferences.
Responsibilities:
• Identify areas where advanced statistical techniques can help tackle problems.
• Plan and develop prototype solutions.
• Build out final products.
• Co-author research proposals.
• Execute studies and present findings to DoW sponsors and at academic conferences.
Qualifications:
Required:
• 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 or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with one (1) year of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline.
• Willingness to complete modest travel to various locations to support the SEI’s overall mission.
• You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance.
• Experience in predictive modeling, data science, and/or AI & machine learning
• Deep understanding of statistical modeling techniques and advanced data analytics
• Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.)
• Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment
• Strong communication skills
• Expertise in one or more of the following: Recommendation systems, Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.), NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering), Causal inference / uplift modeling / synthetic controls, Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow), LLMs / agentic workflows (LangChain/LlamaIndex/Haystack), Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar), Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)
Preferred:
• Experience in cybersecurity and privacy is a plus
• Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus
• Demonstrated ability to learn new concepts and grow into new areas of work
Company:
We conduct cutting-edge research and development that accelerates the transition of technology to the Department of War (DoW), delivering measurable impact in support of the national security mission. Founded in 1984, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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