ZipRecruiter

Log In

1

Work Study Private Equity Data Science Jobs in Virginia

Cmu

Data Scientist

Arlington, VA · On-site

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 ...

GDIT

Data Science Analyst

Springfield, VA

$133K - $180K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Management, Metadata Standards ... Work closely with the Lead Data Engineer to build and maintain theMAP, assess metadata quality ...

Capital One

Manager, Data Science

Mclean, VA · On-site +1

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 ...

Capital One

Manager, Data Science

Mclean, VA · On-site

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 ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

... private and public sectors from fraud detection to cancer research, to national intelligence, we ... and data science expertise to create real-world impact. You'll work closely with clients to ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

... private and public sectors from fraud detection to cancer research, to national intelligence, we ... and data science expertise to create real-world impact. You'll work closely with clients to ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

... private and public sectors from fraud detection to cancer research, to national intelligence, we ... and data science expertise to create real-world impact. You'll work closely with clients to ...

Arenatechnologies

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 ...

Granules

Data Science Associate

Chantilly, VA · On-site

$65K - $68K/yr

Master's Degree in Data Science, Analytics, Statistics, Computer Science, or a related quantitative ... Capstone, thesis, or applied research demonstrating hands-on data work is strongly preferred.

New

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

... 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 ...

previous page

Showing results 41-60

All JobsWork Study Private Equity Data Science JobsWork Study Private Equity Data Science Jobs in Virginia

Work Study Private Equity Data Science information

What are the most commonly searched types of Private Equity Data Science jobs in Virginia? The most popular types of Private Equity Data Science jobs in Virginia are:
What are popular job titles related to Work Study Private Equity Data Science jobs in Virginia? For Work Study Private Equity Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Work Study Private Equity Data Science jobs in Virginia look for? The top searched job categories for Work Study Private Equity Data Science jobs in Virginia are:
What cities in Virginia are hiring for Work Study Private Equity Data Science jobs? Cities in Virginia with the most Work Study Private Equity Data Science job openings:
Work Study Private Equity Data Science jobs near you
Infographic showing various Work Study Private Equity Data Science job openings in Virginia as of June 2026, with employment types broken down into 64% Full Time, 14% Part Time, 3% Temporary, and 19% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Scientist

Cmu

Arlington, VA • On-site

Full-time

Re-posted 3 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

CMU logo

About CMU

Sourced by ZipRecruiter

Industry

Offices of mental health practitioners

Company size

201 - 500 Employees

Headquarters location

Harrisburg, PA, US

View All CMU Jobs

Apply