Data Scientist (Python, AWS)

OpenDataJobs • Washington, DC

4d • Hybrid

About The Position

Peregrine Advisors is a data and technology innovation hub and a Benefit Corporation working at the center of the federal government's mission. They are looking for highly motivated contributors who thrive when trusted to own a hard problem and equipped to deliver the solution. The role involves transforming client data into analytic processes and outcomes to drive mission-critical initiatives. This includes framing analytical questions, building analyses and models in Python and SQL using cloud-native data platforms (AWS or Azure), designing evaluations for model fit, hardening notebooks into repeatable pipelines, and presenting findings to decision-makers. Adaptability and a capacity to learn new concepts, systems, and tools are essential as projects shift. The work is described as real, hard, and important, with opportunities to grow within the firm.

Requirements

• Sole United States citizenship and the ability to obtain a Public Trust determination.
• 5+ 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 Amazon Web Services (AWS).
• Ability to carry an analysis from question to defensible, documented answer.
• Basic proficiency in writing, PowerPoint, and Excel.
• Rigorous about method and honest about uncertainty.
• Care about what the data is for, not just what it contains.
• Ability to communicate clearly.
• Adaptability across roles and clients.
• Care about creating public value.
• Experimentation, failure, learning, and repeating quickly.
• Engineering habits that make analysis trustworthy: version control, reproducible pipelines, tested transformations, and documentation someone else can follow.
• Communication craft to make a technical result understandable to the people who depend on it.
• Precision to work where accuracy and auditability are not optional.

Nice To Haves

• Master's degree in a relevant field.
• Experience with modern data tools and platform (Amazon Aurora, 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.

Responsibilities

• Transforming client data – structured, semi-structured, and unstructured – into analytic processes and outcomes that help drive mission-critical initiatives.
• Framing analytical questions with the people who own the mission, and turning them into designs that can actually be tested.
• Building analyses and models in Python and SQL using cloud-native data platforms hosted in AWS or Azure.
• Designing the evaluation that provides the evidence a model is fit for a client environment: baselines, error analysis, and documented limits.
• Hardening one-off notebooks into repeatable, reviewed analytical pipelines.
• Putting findings in front of decision-makers in plain language, with visuals that carry the argument instead of decorating it.
• Building 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.
• Developing the evaluation evidence behind models: validation designs, error analyses, and documentation that lets someone else verify your analyses and outcomes.
• Creating analytical features and datasets drawn from large, messy, document-heavy corpora, including text extracted with Amazon Textract and analyzed with foundation models through Amazon Bedrock.
• Utilizing AI-assisted analysis as standard practice: language models and coding assistants across the lifecycle, with your judgment on top.
• Contributing to the firm itself: new capabilities, tools, and lines of business you help spin up.

Benefits

• Medical, dental, and vision 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) matched 100% up to 4% of salary, vesting immediately.
• Unlimited paid time off.
• Sponsored professional certifications and continuing education.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level