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Freelance Machine Learning Quant Jobs in Washington

Cmu

Senior Data Scientist

Arlington, VA

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 ...

Capital One

Manager, Data Scientist

Mclean, VA · On-site

Build machine learning models to challenge "champion models" that are deployed in production today ... A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics ...

Capital One

Manager, Data Scientist

Mclean, VA · On-site

Build machine learning models to challenge "champion models" that are deployed in production today ... A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics ...

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Freelance Machine Learning Quant information

What is the difference between Freelance Machine Learning Quant vs Freelance Data Scientist?

AspectFreelance Machine Learning QuantFreelance Data Scientist
CredentialsStrong background in quantitative finance, mathematics, and machine learningBackground in statistics, data analysis, and programming; often less finance-specific
Work EnvironmentFinancial firms, hedge funds, or independent consulting in financeVarious industries including tech, healthcare, marketing, and finance
Industry UsagePrimarily in finance and trading

Freelance Machine Learning Quants focus on applying machine learning techniques to financial markets, often working with trading strategies and risk models. Freelance Data Scientists have a broader scope, working across multiple industries to analyze data, build predictive models, and generate insights. While both roles require strong technical skills, the finance-specific knowledge distinguishes the Freelance Machine Learning Quant from the Freelance Data Scientist.

What are the most commonly searched types of Machine Learning Quant jobs in Washington? The most popular types of Machine Learning Quant jobs in Washington are:
What are popular job titles related to Freelance Machine Learning Quant jobs in Washington? For Freelance Machine Learning Quant jobs in Washington, the most frequently searched job titles are:
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What cities in Washington are hiring for Freelance Machine Learning Quant jobs? Cities in Washington with the most Freelance Machine Learning Quant job openings:
Freelance Machine Learning Quant jobs near you
Infographic showing various Freelance Machine Learning Quant job openings in Washington as of June 2026, with employment types broken down into 1% Internship, 23% As Needed, 3% Full Time, 60% Part Time, 1% Temporary, and 12% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Senior Data Scientist

Cmu

Arlington, VA

Full-time

Posted 19 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 ten (10) 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 eight (8) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) 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

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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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