New

Data Scientist / Engineer

Full-time

Hybrid

Deadline

September 30, 2026

About the organization

TheImpactProject_logo

The Impact Project

Organization type

Social Impact Organization

In A Nutshell

Location

Hybrid New York City, NY, United States

Salary

$105,000 – $135,000 / year

Job Type

Full-time

Experience Level

Mid-level

Deadline to apply

September 30, 2026

The Impact Project is building technical infrastructure that bridges subject areas and data types necessary for a shared understanding of the impact of change. Without this data, Americans don’t have the information they need to help protect their communities and rebuild essential systems.

Responsibilities

  • Design and implement the methodology for tracking and quantifying changes in federal data streams
  • Build and maintain data pipelines to collect, clean, and monitor federal datasets and agency changes over time
  • Develop maps and geospatial tools that overlay environmental, socioeconomic, and weather data to show government change in local context
  • Support pilot site selection analysis using data-driven metrics such as need, capacity, and historical monitoring gaps
  • Document methodology and findings for use in public reports, mapping products, and partner-facing tools
  • Evaluate and integrate new data sources and technical tools as program needs grow
  • Take on other technical tasks as needed to advance the work

Skillset

  • Approximately 3–5 years of professional experience building and maintaining data pipelines, or equivalent demonstrated skill
  • Proficiency in Python for data collection, cleaning, analysis, and pipeline development (e.g. pandas, requests, working with APIs)
  • Working knowledge of SQL and database design for organizing large or evolving datasets
  • Experience with mapping and geospatial tools such as Mapbox, ArcGIS, QGIS, PostGIS, or similar
  • Fluency with version control (Git) and reproducible, well-documented workflows
  • Excellent written and verbal communication, including the ability to explain technical decisions to non-technical colleagues and community partners

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