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

Posted 2 Days Ago
Be an Early Applicant
Laurel, MD, USA
In-Office
176K-282K Annually
Senior level
Aerospace • Information Technology • Security • Cybersecurity • Defense
Do the can't be done.
The Role
Develops machine learning, statistical, data mining, graph-based, and large language models for national security applications. Analyzes datasets, creates feature vectors, prototypes and validates algorithms, builds experiments, generates visualizations, and implements analytics in production frameworks. The role collaborates with subject matter experts, optimizes GPU-based model training, supports LLM and RAG solutions, and guides analytic development efforts. An active TS/SCI clearance with polygraph is required.
Summary Generated by Built In
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 skilled Data Scientist Engineers  to join our team in Laurel, 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.


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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.

Skills Required

  • Bachelor's degree from an accredited college or university in statistics, mathematics, operations research, engineering, computer science, or another quantitative discipline
  • Five years of experience analyzing datasets and developing analytics
  • Five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB
  • An additional four years of software development, cloud development, dataset analysis, or descriptive, predictive, and prescriptive analytics experience may substitute for the bachelor's degree
  • PhD in a quantitative discipline may substitute for four years of experience
  • Experience producing data visualizations that provide insight into dataset structure and meaning
  • Experience extracting information from SQL tables, structured metadata, network logs, and other data formats
  • Experience developing AI and machine learning models
  • Experience developing and optimizing large language models for NLP and information retrieval
  • Experience utilizing GPU-based computing resources for model training and deployment
  • Experience developing statistical, machine learning, and heuristic techniques for analytics
  • Experience developing statistical tests and data-driven recommendations
  • Experience developing experiments or simulated data when required data are unavailable
  • Experience developing feature vectors, selecting algorithms, tuning parameters, and validating model performance
  • Experience overseeing analytic efforts and guiding teams through analytic development
  • Active TS/SCI clearance with polygraph
  • Familiarity with LLMs, RAG frameworks, agents, and agentic workflows

Peraton Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Peraton and has not been reviewed or approved by Peraton.

  • Healthcare Strength Healthcare offerings are described as broad, including medical, dental, vision, mental health support, and specialty programs like virtual physical therapy and surgical/cancer care navigation. Medical coverage is also characterized as a standout part of the overall package in terms of perceived quality.
  • Retirement Support Retirement support includes a 401(k) with employer matching and is repeatedly positioned as a strong component of total rewards. The 401(k) benefit is frequently singled out as one of the most valued parts of the package.
  • Leave & Time Off Breadth Time-off benefits are positioned as robust, including PTO, holidays, paid sick days, and floating holidays, with some roles offering notably generous accrual. Leave breadth is reinforced by related programs such as short/long-term disability and bereavement leave.

Peraton Insights

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The Company
HQ: Reston, VA
18,000 Employees
Year Founded: 2017

What We Do

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.

Why Work With Us

We are fearlessly solving the world’s most complex challenges to keep people safe and secure. You can be a part of protecting and promoting that freedom around the world.

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