Junior Data Scientist (Associate Manager)

PARTNERSHIP FOR PUBLIC SERVICE•Washington, DC

5h•Hybrid

About The Position

The Partnership for Public Service is seeking a junior data scientist (associate manager) to join a growing data team supporting the organization’s mission. As the Partnership expands our data product offerings, this role will be a critical contributor to building our internal capacity. This role will support all stages of data product development and the data science lifecycle, from data cleaning and exploratory analysis to visualization and model development. This position is ideal for someone with experience in statistical analysis using Python/R/SQL, data science, and/or data engineering. A successful candidate will also have experience working across multiple workstreams and in a fast-paced environment.

Requirements

Ability to conduct data cleaning, analysis and/or visualization in Python, R or SQL.
Ability to document technical processes and create resources for non-technical users.
Excellent attention to detail, quality and value.
Strong analytical and strategic thinking skills.
Adept at working in a fast-paced and high-energy environment.
Ability to collaborate effectively across teams, share data-driven insights with non-technical audiences, and connect the organization’s strategic priorities to analytical work.
Commitment to the values of public service and the mission of the Partnership.
Minimum of two to four years of relevant, full-time work experience in data science, data analysis or a related field.
Bachelor’s degree, or equivalent professional work or military experience.
One to two years of experience with Python, R or SQL required.

Nice To Haves

Familiarity with Microsoft Fabric, Databricks or comparable cloud-based platform preferred.
Experience with federal workforce, spending and/or performance data preferred.
Federal, state, local or tribal government and/or non-profit experience preferred.

Responsibilities

Conduct statistical analysis and model development using proprietary Partnership data and federal administrative/statistical data.
With guidance from the data science manager, engage in data collection, ETL and EDA in support of data product development.
Create documentation and training materials for internal use.
Collaborate with teams across the organization to address data science and engineering needs.