Data Scientist (Closes 8/3)

About the role

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.

Responsibilities

• Create feedback loops on performance by learning about the efficacy of programs and interventions and informing DHS's funding commitments.
• Augment human judgement to improve operations and optimize constrained resources, such as case worker bandwidth.
• Develop high quality reusable software that allows us to deliver inference at scale.
• Collaborate closely with the 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.

Requirements

• Strong candidates for the role will be clear, organized thinkers about complicated empirical questions, have a bias toward simplicity over methodological complexity, and possess a sound grasp of the fundamentals in their field.
• 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 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.
• Desires 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.

Qualifications

• Graduate degree or significant experience in computer science or related field.
• 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.
• Desires 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.
• Knowledge of a statistical programming language such as Python, R, or Stata and familiarity with a programming language for querying structured data.

Skills

• Core competency in python and abstract, hierarchical design.
• Experience with statistical and machine learning modeling.

Benefits

• Opportunities to contribute to impactful work in local government.
• Collaboration with world-class academics and other experts.
• Work for Allegheny County, Department of Human Services and be employed by CAI.
• An equal opportunity employer committed to diversity, equity, and inclusion.

Pay

N/A

Schedule

N/A

Application

If you're concerned that you don’t have all of the parts of a successful application, we still highly encourage you to apply. Data science is always a healthy mix of modeling and engineering, and we do not expect every candidate to be fully qualified across all subfields. If hired for a position, candidates would work for Allegheny County, Department of Human Services and be employed by CAI.