Senior Data Scientist Engineer — ML/NLP for National Security

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

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.