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Computer Data Scientist Jobs (NOW HIRING)

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 ...

National Capitol Contracting (NCC)

Be Seen First

Data Scientist

Norfolk, VA · On-site

Bachelors degree in Computer Science, Data Science, Computational Science, or related field * Masters of Science Degree in Computer Science, Data Science, Computational Science or related field.

RIT Solutions, Inc.

Data Scientist

Mckinney, TX

Bachelor's degree in a technical field (computer science, mathematics, statistics, etc.) with 3 ... Data Science experience * Python and/or R * Machine Learning/Computer Vision/Object Detection

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 ...

Victory

Data Scientist

Austin, TX

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen Employment Type: FULL_TIME

Elder Research

Data Scientist

Arlington, VA

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

Mastech Digital

Data Scientist

Irving, TX · On-site

$65 - $70/hr

We are currently seeking a Data Scientist for our client in the Retail domain. We value our ... Bachelor's Degree or higher in Computer Science/Engineering/Math, or relevant experience.

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

Apply Natural Language Processing and Computer Vision to solve business use cases, * Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of ...

Prophecy Technologies

Data Scientist

Atlanta, GA · On-site

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. Preferred Qualifications: * Experience with advanced analytics and big data tools. * Familiarity with ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Master's/PhD in Computer Science, Data Science, or equivalent experience * 4-7 years of industry experience working with real-world datasets * Experience with Agile Scrum development methodology * C# ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · On-site

Apply Natural Language Processing and Computer Vision to solve business use cases, * Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of ...

Technogen, Inc.

Data Scientist

Camden, NJ · Hybrid

Master's, or PhD in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, Operations Research, or a related quantitative field. * Specialization in ML, AI, cognitive science ...

Elder Research

Data Scientist

Arlington, VA · On-site

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

Signature Science, LLC

Data Scientist

NJ · On-site

$75K/yr

Appropriately annotates project developed computer code through comments and user manuals ... Working knowledge of statistics as it applies to scientific data * Ability to communicate technical ...

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Computer Data Scientist information

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$46K

$165K

$243.5K

How much do computer data scientist jobs pay per year?

As of Jun 1, 2026, the average yearly pay for computer data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Data Scientist, and why are they important?

To excel as a Computer Data Scientist, you need a solid background in statistics, mathematics, programming (often Python or R), and a degree in computer science or a related field. Familiarity with data analysis tools like SQL, TensorFlow, scikit-learn, and experience with big data platforms such as Hadoop or Spark are highly valuable. Strong problem-solving abilities, critical thinking, and effective communication skills help translate data findings into actionable business insights. These skills are essential for extracting meaningful information from complex datasets and driving data-driven decision-making.

How do Computer Data Scientists typically collaborate with other departments within an organization?

Computer Data Scientists often work closely with teams such as engineering, product management, and business analytics to translate complex data insights into actionable strategies. They regularly participate in cross-functional meetings to understand business problems, define data requirements, and present findings. Effective communication and teamwork are essential, as data scientists must ensure their models and analyses align with organizational goals and can be practically implemented by other departments.

What is a Computer Data Scientist?

A Computer Data Scientist is a professional who uses advanced analytical, statistical, and programming skills to collect, analyze, and interpret large sets of data. They apply techniques from computer science, mathematics, and statistics to extract meaningful insights, build predictive models, and help organizations make data-driven decisions. Computer Data Scientists often work with big data technologies, machine learning algorithms, and data visualization tools to solve complex business problems. Their work supports strategic planning, product development, and operational improvements in various industries.

What is the difference between Computer Data Scientist vs Data Analyst?

AspectComputer Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; often includes programming certificationsBachelor's degree in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst are common
Work EnvironmentTypically in tech companies, research labs, or data-driven organizations; involves complex data modeling and machine learningIn various industries like marketing, finance, healthcare; focuses on data visualization, reporting, and basic analysis
Employer & Industry UsageUsed in tech, finance, healthcare, and research sectors for advanced data modelingWidely used across industries for business insights and reporting

Computer Data Scientists and Data Analysts both work with data, but Data Scientists focus on complex modeling, machine learning, and programming, often requiring advanced degrees. Data Analysts primarily handle data reporting, visualization, and basic analysis. The roles differ in complexity, tools, and typical responsibilities, though they share foundational skills in data handling.

More about Computer Data Scientist jobs
What cities are hiring for Computer Data Scientist jobs? Cities with the most Computer Data Scientist job openings:
What are the most commonly searched types of Computer Data Scientist jobs? The most popular types of Computer Data Scientist jobs are:
What job categories do people searching Computer Data Scientist jobs look for? The top searched job categories for Computer Data Scientist jobs are:
Computer Data Scientist jobs near you
Infographic showing various Computer Data Scientist job openings in the United States as of May 2026, with employment types broken down into 14% Internship, 72% Full Time, 7% Part Time, and 7% Contract. Highlights an 13% Physical, 8% Hybrid, and 79% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Cmu

Arlington, VA • On-site

Full-time

Posted 23 days ago

Job description


What We Do:

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities. If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you!
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 or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience.
  • 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.

Knowledge, Skills and Abilities:

  • 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)

Desired Experience:

  • Experience in cybersecurity and privacy is a plus 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

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff - Regular

Full time/Part time

Full time

Pay Basis

SalaryMore Information:

  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

  • Statement of Assurance

About CMU

Sourced by ZipRecruiter

Industry

Offices of mental health practitioners

Company size

201 - 500 Employees

Headquarters location

Harrisburg, PA, US

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