The Data Scientist will work to construct software for leveraging nationally recognized, integrated human services data and partner with world-class academics to help drive research that improves outcomes for our most vulnerable residents.
The data science team owns DHS’s measurement problems and predictive models, with a team charter of: (1) creating feedback loops on our performance by learning about the efficacy of programs and interventions and informing DHS’s funding commitments; (2) augmenting human judgement to improve operations and optimize constrained resources, such as case worker bandwidth; and (3) developing high quality reusable software that allows us to deliver inference at scale.
The data scientists will collaborate closely with our 40-person Analytics team, Technology team, program managers, and senior leadership to help identify what works and why, iterate and experiment with new approaches to service delivery, improve human decision making, build better software, and convert analytics into automated, extensible products.

Has a core competency in python and abstract, hierarchical design as well as some experience with statistical and machine learning modeling.
Has a graduate degree or significant experience in computer science or related field.
Has a track record of developing high-quality, well-structured, and maintainable software applications.
Experience with applied research and/or industry experience in building machine learning or causal models to answer real-world problems.
Balances speed of delivery with upholding high standards on quality.
Has a desire to develop, test, and QC software to facilitate end-to-end applied research.
Maintains a flexible approach to problem solving, prioritizing impact over technical complexity.
Has knowledge of a statistical programming language such as Python, R, or Stata and familiarity with a programming language for querying structured data.

Data Scientist

Key skills