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Freelance Machine Learning Quant Jobs in Maryland

Responsibilities The Data Scientist will develop machine learning, data mining, statistical and ... Bachelor's degree from an accredited college or university in quantitative discipline (e.g ...

Data Scientist 1 - TS/SCI w/poly

Laurel, MD · On-site

$146K - $234K/yr

  • PTO

Responsibilities The Data Scientist will develop machine learning, data mining, statistical and ... Bachelor's degree from an accredited college or university in quantitative discipline (e.g ...

Leads structuring data, natural language processing, database technologies, and machine learning ... Uses analytical software to support quantitative and analytic efforts and workforce planning ...

Showing results 41-60

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 Maryland?

The most popular types of Machine Learning Quant jobs in Maryland are:

What are popular job titles related to Freelance Machine Learning Quant jobs in Maryland?

For Freelance Machine Learning Quant jobs in Maryland, the most frequently searched job titles are:

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The top searched job categories for Freelance Machine Learning Quant jobs in Maryland are:

What cities in Maryland are hiring for Freelance Machine Learning Quant jobs?

Cities in Maryland with the most Freelance Machine Learning Quant job openings:

Infographic showing various Freelance Machine Learning Quant job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data Scientist Engineer Level 2 - AI/ML Project TS/SCI w/Poly

Peraton

Laurel, MD • On-site

$176K - $282K/yr

Full-time

PTO

Re-posted 6 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

51st of 224 rated it services


Job description

Responsibilities

Are you passionate about building cutting-edge solutions that support national security? Do you thrive in fast-paced, mission-driven environments? Peraton is seeking a talented and skilledData Scientist Engineers to join our team inLaurel, MD.

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.

MPOJobs 

#AJCM #PeratonRoyalMove

#MDFSP

Keywords: Data analysis software such as R, Python, SAS, or MATLAB, data formats (e.g., SQL tables, structured metadata, network logs), standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices);  Artificial Intelligence (AI), Large Language Model (LLM), Machine Learning (ML), AI/ML algorithms, statistical analysis, RAG, agents, and agentic workflow 

Qualifications

BASIC QUALIFICATIONS:

  • Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) and five (5) years of experience analyzing datasets and developing analytics as well as five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
  • An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree.
  • A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience. 
  • Produce data visualizations that provide insight into dataset structure and meaning  
  • Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs) 
  • Incorporate SME input into feature vectors suitable for analytic development and testing 
  • Develop Al and machine learning models to address complex problems. 
  • Develop and optimize Large Language Models (LLM) for various NLP tasks and information retrieval 
  • Experience with utilizing GPU-based computing resources to accelerate model training and deployment. 
  • Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics 
  • Develop statistical tests to make data-driven recommendations and decisions 
  • Develop experiments to collect data or models to simulate data when required data are unavailable 
  • Develop feature vectors for input into machine learning algorithms 
  • Identify the most appropriate algorithm for a given dataset and tune input and model parameters 
  • Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices) 
  • Oversee the development of individual analytic efforts and guide team in analytic development process  

An Active TS/SCI clearance with polygraph is required 

Additional Desired Qualifications:  

  • AI/ML Integration:Familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks, agents, and agentic workflow. 

Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$176,000 - $282,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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Pay

Benefits

Hours and flexibility

Workplace

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017