Data Scientist - Python & AWS for Federal Initiatives

Peregrine Advisors

Washington (District of Columbia)

Hybrid

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Peregrine Advisors is seeking a data scientist to transform client data into analytic processes and outcomes, framing questions with mission owners and building models in Python and SQL on AWS/Azure platforms. You will design robust evaluations, turn notebooks into repeatable pipelines, and present findings to inform decisions.

You will work in a hybrid role based in the Washington, DC area, collaborating with a team of data scientists, engineers, and strategists on mission-critical initiatives.

Qualifications

  • 5+ years of applied data science or statistical modeling experience
  • 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
  • Basic proficiency in writing, PowerPoint, and Excel

Responsibilities

  • Transform client data – structured, semi-structured, and unstructured – into analytic processes and outcomes
  • Frame analytical questions with the owners and turn them into designs that can be tested
  • Build analyses and models in Python and SQL using cloud-native data platforms hosted in AWS or Azure
  • Design the evaluation that provides the evidence a model is fit for a client environment: baselines, error analyses, and documented limits
  • Hardening notebooks into repeatable, reviewed analytical pipelines; present findings clearly to decision-makers

Skills

Python
SQL
Statistics
Machine Learning
Data Visualization

Education

Master's degree in a relevant field

Tools

AWS
Amazon Bedrock
Amazon Aurora
S3 with Apache Iceberg
AWS Glue
Trino
Textract

Job description

Peregrine Advisors is seeking a data scientist to transform client data into analytic processes and outcomes, framing questions with mission owners and building models in Python and SQL on AWS/Azure platforms. You will design robust evaluations, turn notebooks into repeatable pipelines, and present findings to inform decisions.

You will work in a hybrid role based in the Washington, DC area, collaborating with a team of data scientists, engineers, and strategists on mission-critical initiatives.

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