Data Scientist

MedStar Health; Herndon (VA); Remote; USD 104,000 - 166,000; Full time

Job summary

MedStar Health is seeking a highly skilled Data Scientist for a fully remote position. The role involves applying advanced statistical analysis and AI methodologies to drive impactful insights and enhance decision-making. The ideal candidate will contribute to diverse machine learning domains, including forecasting, optimization, and natural language processing, while working collaboratively within cross-functional teams.

Benefits

Competitive compensation and benefits package

Work on cutting-edge AI projects

Collaborate with a dynamic team

Qualifications

• 8+ years experience for Bachelor's, 6+ for Master's, or 3+ for PhD.
• Proficiency in Python or R for ML and statistical modeling.
• Experience with ML pipelines, experimentation, and cloud deployment.

Responsibilities

• Develop time series forecasting and survival analysis methods.
• Implement optimization strategies and simulation tools.
• Build and validate ML models for various applications.

Skills

Python

R

SQL

Machine Learning

Natural Language Processing

Statistical Analysis

Education

Bachelor's degree

Master's degree

PhD

Job description

Data Scientist

Job Locations

US

Requisition ID

2025-158110

Position Category

Scientific, Research & Analysis

Clearance

RDG Clearance

Responsibilities

We are looking for a highly skilled Data Scientist to drive impactful insights and build robust predictive models across a range of machine learning domains. The ideal candidate will bring expertise in one or more of the following areas: forecasting and time-to-event modeling, process optimization, natural language processing (NLP), and general machine learning. This role offers the opportunity to apply advanced statistical analysis and AI methodologies to enhance business decision-making and improve product offerings.

This is a 100% Remote position.

Key Responsibilities

Depending on your areas of expertise, you may contribute in several of the following capacities:

Forecasting and Optimization

Develop and apply time series forecasting techniques and survival analysis methods for time-to-event modeling.
• Implement process optimization strategies, KPI modeling, and simulation tools to refine business operations.

Experimentation and Causal Inference

• Design and execute A/B testing frameworks to evaluate and improve processes and products.

Natural Language Processing

• Develop NLP models for tasks such as named entity recognition, text classification, and experience with generative AI applications.
• Apply deep learning architectures to NLP challenges
• Work with Retrieval-Augmented Generation (RAG) frameworks using tools like Langflow or similar.

Machine Learning and Applied AI

• Build and validate ML models for clustering, anomaly detection, classification, and risk scoring.
• Implement ML pipelines using tools like MLflow and deploy models on cloud platforms (AWS, Azure, GCP).
• Integrate customer feedback into AI model refinement and product strategies.

Collaboration and Communication

• Work with cross-functional teams in an agile development environment.
• Document workflows and communicate insights to both technical and non-technical stakeholders.

Data Infrastructure

• Perform data analysis using SQL and work with large-scale datasets within modern data warehousing environments.

Why Join Us?

• Work on cutting-edge AI projects with real-world business impact.
• Collaborate with a dynamic and cross-functional team.
• Opportunity to deepen your expertise across diverse machine learning domains.
• Competitive compensation and benefits package.

Qualifications

Required Qualifications

• US Citizenship
• Must be able to obtain and maintain a Top Secret eligible clearance; Active federal background investigation with a T5 adjudication is preferred
• Bachelor's degree with 8+ years of experience, Master's degree with 6+ years, or PhD with 3+ years in a related field
• Proficiency in Python or R for ML and statistical modeling
• Experience with ML pipelines, experimentation, and cloud deployment
• Strong SQL skills and experience with large-scale data processing
• Familiarity with modern orchestration tools
• Deep understanding of at least one major ML area (e.g., forecasting, NLP, optimization, etc.)

Preferred Qualifications:

• Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts
• Ability to develops and employs strategies to analyze key issues, draw conclusions from data, and recommend viable solutions to address customer mission needs.
• Ability to lead multi-disciplinary teams to complete complex data science projects.
• Experience in solving problems with structured and unstructured data
• Experience in applying statistical and data visualization skills
• Strong problem solving skills to manipulate data and draw insights from large data sets. Proven ability to learn and master new software, technologies and techniques
• Experience with inferential and descriptive statistics

#RDG

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

$104,000 - $166,000. This represents the typical salary range for this position based on experience and other factors.

EEO

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