Data Scientist: AI-Driven Data Pipelines for Policy Research

DataJobs; Washington (District of Columbia); Hybrid; USD 80,000 - 157,000; Full time

Benefits offered by this job

Medical, dental, vision

Retirement savings

Tuition assistance

Work-life balance

Employee discounts

Voluntary insurance options

Job summary

Georgetown University’s Center for Security and Emerging Technology (CSET) seeks a Data Scientist to support data infrastructure and rigorous policy research. You will build data pipelines in Airflow, apply AI-enabled modeling, and ingest data into Google Cloud Platform to produce high-quality resources for decision makers.

Collaborating with software engineers, data analysts, and researchers, you will communicate methods and findings, document data processes, and contribute to open data

Qualifications

• Bachelor’s degree in computer science, data science, or a quantitative field.
• Minimum 5 years of professional quantitative or statistical analysis experience.
• Proficiency with SQL and Python.
• Experience with GitHub and code management.
• Familiarity with cloud platforms (GCP/AWS/Azure).
• Ability to analyze datasets and support decisions.

Responsibilities

• Build and maintain data pipelines and processing techniques for large datasets using Airflow.
• Design and implement AI-enabled solutions and advanced modeling to improve data quality and utility.
• Ingest structured and unstructured data into Google Cloud Platform (GCP).
• Document and communicate data methods and resources to internal and external audiences.

Skills

SQL

Python

Airflow

GitHub

GCP

NLP

ML

Education

Bachelor’s degree in CS/Data Science/Quantitative field

Tools

Google Cloud Platform

AWS

Azure

Job description

Georgetown University’s Center for Security and Emerging Technology (CSET) seeks a Data Scientist to support data infrastructure and rigorous policy research. You will build data pipelines in Airflow, apply AI-enabled modeling, and ingest data into Google Cloud Platform to produce high-quality resources for decision makers.

Collaborating with software engineers, data analysts, and researchers, you will communicate methods and findings, document data processes, and contribute to open data