Data Science, Lead Associate

Peraton; United States; Remote; USD 104,000 - 166,000; Full time

Job summary

Peraton is seeking a skilled Data Scientist to utilize machine learning methodologies for impactful insights. This role emphasizes advanced statistical analysis, predictive modeling, and natural language processing within a collaborative remote team environment, playing a critical role in enhancing business operations and product offerings.

Benefits

Competitive compensation and benefits package

Opportunity to deepen expertise across diverse machine learning domains

Qualifications

• 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.

Responsibilities

• Develop and apply time series forecasting techniques and survival analysis methods.
• Design and execute A/B testing frameworks to evaluate and improve processes.
• Build and validate ML models for clustering, anomaly detection, classification.

Skills

Python

R

SQL

Machine Learning

Natural Language Processing

Statistical Analysis

Data Visualization

Problem Solving

Education

Bachelor's degree in a related field

Master's degree in a related field

PhD in a related field

Tools

ML pipelines

Deep learning architectures

Cloud platforms (AWS, Azure, GCP)

Job description

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 5+ years of experience, Master's degree with 3+ years, or PhD 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

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.