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Work Study Nsa Data Science Jobs in Virginia (NOW HIRING)

... execute studies, and present findings to DoW sponsors and at academic conferences. • Work on a ... Required : • BS in data science, machine learning, computer science, statistics, or related ...

In this role, you will work with our customers to identify areas where advanced statistical ... If you are a data science or statistics expert with an interest in cybersecurity, we want to hear ...

Translate the complexity of your work into tangible business goals. Minimum Requirements ... McLean, VA * $170,872.00 - $267,900.00 for Manager, Data Science Candidates hired to work in other ...

Data Scientist

Alexandria, VA · On-site

$105 - $125/hr

Come work with the best! We offer opportunity, unique challenges, and clear‑sighted commitment to ... The analyst will function as a part of the DASH Data Science team. Will support the team in ...

New

... work at the intersection of data science, applied research, and software engineering to develop ... study involved a substantial technical or quantitative component. * At least 3 years of relevant ...

AI and Data Science Engineer III

Rosslyn, VA · On-site

$130K - $156K/yr

Work you'll do As an AI and Data Science Engineer III on the Government & Public Services AI & Data ... This role combines analytical study design, model development, production pipeline oversight, and ...

... work at the intersection of data science, applied research, and software engineering to develop ... study involved a substantial technical or quantitative component. * At least 3 years of relevant ...

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

Apply advanced data science techniques across the full model lifecycle: * Design, training ... Work Authorization: Applicants must be currently authorized to work in the United States on a ...

AI and Data Science Engineer III

Arlington, VA · On-site

$131K - $158K/yr

This role combines analytical study design, model development, production pipeline oversight, and ... Work you'll do As an AI and Data Science Engineer III on the Government & Public Services AI & Data ...

Showing results 21-40

Work Study Nsa Data Science information

What is the difference between Work Study Nsa Data Science vs Data Analyst?

AspectWork Study Nsa Data ScienceData Analyst
Required CredentialsRelevant coursework, basic programming skillsBachelor's degree in related field, some certifications
Work EnvironmentPart-time, on-campus or government agency settingsCorporate, consulting, or industry offices
Employer & Industry UsageGovernment agencies, research projects, academic institutionsBusinesses, marketing firms, finance, healthcare

Work Study Nsa Data Science roles typically involve assisting with data collection, basic analysis, and research support within academic or government settings, often as part of a student work program. Data Analysts focus on interpreting data, creating reports, and supporting decision-making in various industries. While both roles require analytical skills, Work Study Nsa Data Science positions are more educational and entry-level, whereas Data Analysts often require more experience and industry-specific knowledge.

What job categories do people searching Work Study Nsa Data Science jobs in Virginia look for? The top searched job categories for Work Study Nsa Data Science jobs in Virginia are:
What cities in Virginia are hiring for Work Study Nsa Data Science jobs? Cities in Virginia with the most Work Study Nsa Data Science job openings:
Infographic showing various Work Study Nsa Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Full-time

Re-posted 9 hours ago


Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 616 rated colleges and universities


Job description

Job Summary:
Carnegie Mellon University is a leading institution focused on innovation and research. They are seeking a Data Scientist to leverage advanced statistics, data analytics, machine learning, and artificial intelligence to address cybersecurity challenges for government and industry clients.
Responsibilities:
• Work with customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products.
• Co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
• Work on a wide range of projects including research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems.
• 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.
Qualifications:
Required:
• 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.
• 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:
Carnegie Mellon University is a research university offering programs and research across engineering, science, arts, and business. Founded in 1900, the company is headquartered in Pittsburgh, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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