Data Scientist, Python and AWS

📋 Job Overview

Peregrine Advisors is seeking a Data Scientist to join their rapidly growing AI and data innovation hub. The role involves transforming client data into analytic processes and outcomes that help drive mission-critical initiatives for government clients.

🏢 About Peregrine

Peregrine Advisors is a rapidly growing AI and data innovation hub helping government solve hard problems and deliver better outcomes. We work across the full lifecycle—from strategy and governance through architecture, engineering, analytics, AI, visualization, and training—for clients including the SEC, PCAOB, DDOT, and DCAA.

🎯 The Role

Your first project will likely have you transforming client data, structured, semi-structured, and unstructured, into analytic processes and outcomes that help drive mission-critical initiatives. Depending on the assignment, you may frame analytical questions, build analyses and models in Python and SQL on cloud-native data platforms hosted in AWS, design evaluation methods, build analytical features and datasets from large, messy, document-heavy corpora, harden one-off notebooks into repeatable analytical pipelines, and put findings in front of decision-makers in plain language.

✅ Key Responsibilities

• Frame analytical questions with the people who own the mission, and turn them into designs that can actually be tested.
• Build analyses and models in Python and Structured Query Language (SQL) on cloud-native data platforms hosted in Amazon Web Services (AWS).
• Build models that earn their place: forecasting, classification, risk scoring, and anomaly detection matched to the question, the data, and the scrutiny a federal decision has to survive.
• Design the evaluation that shows a model is fit for a client environment, with baselines, validation designs, error analysis, documented limits, and documentation that lets someone else verify your results.
• Build analytical features and datasets from large, messy, document-heavy corpora, including text extracted with Amazon Textract and analyzed with foundation models through Amazon Bedrock.
• Harden one-off notebooks into repeatable, reviewed analytical pipelines.
• Put findings in front of decision-makers in plain language, with visuals that carry the argument instead of decorating it.
• Use artificial intelligence (AI)-assisted analysis as standard practice, with language models and coding assistants across the lifecycle and your judgment on top.

📌 Required Qualifications

• 4+ years of applied data science or statistical modeling experience
• Bachelor's degree
• Strong working command of Python and SQL
• Working knowledge of statistics, machine learning, and model validation
• Familiarity with cloud-based data and analytics services on AWS
• Ability to carry an analysis from question to defensible, documented answer
• Proficiency in writing, PowerPoint, and Excel

⭐ Desirable Experience

• Master's degree in a relevant field
• Experience with modern data tools and platforms (Amazon Aurora, Amazon Simple Storage Service (S3) with Apache Iceberg, AWS Glue, or Trino)
• Experience applying large language models to analytical work (Amazon Bedrock or comparable services)
• Data-visualization craft, from chart design through dashboards and charting libraries
• Federal information technology experience
• Familiarity with AI-assisted developer tooling

🎁 Benefits

You will work alongside developers, engineers, data scientists, architects, and strategists, on work ranging from strategy to implementation. We support your development across assignments and clients through extensive onboarding, sponsored professional certifications such as the Data Management Capability Assessment Model (DCAM) and AWS technical certifications, and rotation across functions to expand your skills and perspective. The mission is real, the problems are hard, and you own what you ship.

Benefits include medical, dental, and vision insurance with the employee premium fully paid and half of dependent premiums; employer-paid life, accidental death, and short-term and long-term disability insurance; a 401(k) with an employer match of up to 4% of salary; unlimited paid time off; and sponsored professional certifications and continuing education.

🛂 Visa & Eligibility

The initial engagement requires United States citizenship and the ability to obtain a Public Trust determination. Occasional travel to DC is part of the job.