Data Scientist, Python and AWS

New

Peregrine AdvisorsGovernment data analytics

This is a remote positionFull-TimeMiddle

Salary78,000 - 147,000 USD per year

Apply NowOpens the employer's application page

Job Details

Experience: 4+ years of applied data science or statistical modeling experience
Required Skills: AWSPythonSQLMachine LearningMicrosoft ExcelPowerPoint

Have 4+ years of applied data science or statistical modeling experience.
Hold a bachelor's degree.
Have a strong working command of Python and SQL.
Have working knowledge of statistics, machine learning, and model validation.
Be familiar with cloud-based data and analytics services on AWS.
Be able to carry an analysis from question to defensible, documented answer.
Be proficient in writing, PowerPoint, and Excel.
Apply statistics and machine learning to real operational data.
Use version control, reproducible pipelines, tested transformations, and documentation.
Communicate technical results clearly to the people who depend on them.
Meet the initial engagement requirement of U.S. citizenship and ability to obtain a Public Trust determination.
Preferred: hold a master's degree in a relevant field.
Preferred: have experience with Amazon Aurora, Amazon S3 with Apache Iceberg, AWS Glue, or Trino.
Preferred: have experience applying large language models to analytical work, such as Amazon Bedrock.
Preferred: have data-visualization craft, including chart design, dashboards, and charting libraries.
Preferred: have federal information technology experience or familiarity with AI-assisted developer tooling.

Frame analytical questions with mission owners and turn them into testable designs.
Build analyses and models in Python and SQL on cloud-native data platforms hosted in AWS.
Develop forecasting, classification, risk-scoring, and anomaly-detection models suited to the question and data.
Design model evaluations with baselines, validation designs, error analysis, documented limits, and verifiable results.
Build analytical features and datasets from structured, semi-structured, and unstructured data, including document-heavy corpora.
Use Amazon Textract and foundation models through Amazon Bedrock to extract and analyze text.
Turn one-off notebooks into repeatable, reviewed analytical pipelines.
Present findings to decision-makers in plain language with clear visualizations.
Use AI-assisted analysis, language models, and coding assistants across the analytical lifecycle.

View Full Description & ApplyYou'll be redirected to the employer's site