Data Scientist Engineer Level 2 – AI/ML Project TS/SCI w/Poly
Laurel, Maryland, United States · On-site
$176k–$282k/yr
Senior
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$176k–$282k/yr
Full-time
bachelor degree, postgraduate degree
Subsidized Employee Benefits Coverage, Paid Time Off, Bonus Plan
Posted 61d ago
Apply by Jul 13
~40 hrs/week
Responsibilities
Develop and implement machine learning, statistical, and graph-based algorithms to analyze complex datasets for national security missions. Collaborate with subject matter experts to automate manual data analysis and integrate prototype algorithms into production workflows.
Requirements
Requires a Bachelor's degree in a quantitative discipline and five years of experience in data analysis and programming. An active TS/SCI clearance with polygraph is mandatory.
Full 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 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.
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.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Fearlessly solving the toughest national security challenges.
Industry
Technology, Information and Internet
Company size
10,001+ employees
Founded
2017
Headquarters
Reston, Virginia
LinkedIn followers
160,344
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.
How do we do it? By thinking differently. We're not mired in the past. We look at all problems with fresh eyes. We look past the obvious to bring the best talent, tech, and ideas together to completely transform how things get done. So bring your unique ideas, your entrepreneurial spirit, and your drive to succeed and get ready to be part of something bigger. Get ready to do the can't be done.
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Recruitment fraud is a growing trend where fraudsters have been known to attempt to use our name to trick job seekers with fake employment opportunities. This type of scam is typically carried out through fake job postings, fake websites, or email accounts claiming to be from Peraton. The intent of recruitment fraud is to gain access to your personal information, such as your banking information, credit card number, or social security number.
Please be aware that our careers site can be found at careers.peraton.com and our corporate site can be found at peraton.com.
To learn more about Recruitment fraud and what to expect and not to expect from a Peraton recruiter, please visit: https://careers.peraton.com/recruitment-fraud/
Offices: 1875 Explorer St, Reston, Virginia 20190, US · 12975 Worldgate Drive, Herndon, VA 20170, US · 6767 Old Madison Pike, #321, Huntsville, AL 35806, US · 1400 Shamrock Avenue, Monrovia, CA 91016, US · 3855 Lewiston St, Aurora, Colorado 80011, US