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

Peraton; United States; On-site; USD 176,000 - 282,000; Full time

Benefits offered by this job

PTO 25 days

Subsidized benefits

Bonus plan eligibility

Job summary

Peraton is seeking a Data Scientist Engineer to join our team in Laurel, MD, building ML, data mining, and statistical solutions to support national security missions. You will prototype algorithms, develop production-ready analytics, and partner with SMEs to translate data into automated insights.

You will work with tools like R, Python, SAS, and MATLAB, deliver visualizations and data-driven reports, and help advance AI/ML capabilities including LLMs and RAG frameworks.

Qualifications

• Bachelor's degree in a quantitative discipline and five years of analytics experience.
• Five years of experience programming with data analysis software (R, Python, SAS, or MATLAB).
• An additional four years of experience in software development or cloud analytics can substitute for a degree.
• Produce data visualizations that provide insight into dataset structure and meaning.
• Work with SMEs to identify important information in raw data and develop scripts to extract it.
• Incorporate SME input into feature vectors for analytic development and testing.
• Develop AI and machine learning models to address complex problems.
• Develop and optimize Large Language Models (LLMs) for NLP tasks and information retrieval.
• Experience with GPU-based computing to accelerate model training and deployment.
• Develop statistical, machine learning, and heuristic techniques for descriptive, predictive, and prescriptive analytics.
• Develop statistical tests to make data-driven recommendations and decisions.
• Develop experiments to collect data or simulate data when data is unavailable.
• Develop feature vectors for input into ML algorithms and tune model parameters.
• Evaluate analytics using cross-validation, ROC curves, and confusion matrices.
• Oversee analytics development and guide the team through the process.

Responsibilities

• Develop ML models and analytics to support national security missions.
• Prototype algorithms and select the best-performing model based on metrics.
• Implement prototype algorithms within production frameworks for analyst workflows.
• Generate reports and visualizations to summarize datasets and provide insights.
• Collaborate with SMEs to translate manual analysis into automated analytics.

Skills

Data analysis

Python

R

SAS

MATLAB

Machine learning

Statistical analysis

SQL

Visualization

GPU computing

Education

Bachelor's degree in quantitative discipline

PhD in quantitative discipline (substitution)

Tools

R

Python

SAS

MATLAB

SQL

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.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.