The Institute for Research on Poverty (IRP) seeks a Data Scientist to support its mission of advancing the understanding of poverty and inequality through rigorous research. This role will specifically focus on health policy research within the Medicaid Evaluation Research (MER) unit, working with teams evaluating state programs and preparing data for broader use.
Requirements
- Data science experience including: ETL pipeline processes of data extraction, transformation (wrangling, cleaning, and merging), and loading; and/or data visualization and analysis using SAS, R, Python, or SQL
- At least one year of experience manipulating and merging large, complex administrative datasets for research purposes
- At least one year of data life cycle management (DLM) experience including: data acquisition or collection, use, and long-term storage
- At least one year of experience programming in SAS
- Experience working with administrative medical claims and enrollment data, with preference for Medicaid claims experience and/or Wisconsin Health Information Organization (WHIO) data
- Working knowledge of LINUX operating system
Responsibilities
- Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
- Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
- Organizes and automates project steps for data preparation and analysis
- Implements appropriate data science techniques under the guidance of other data scientists, statisticians, and/or other researchers to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
- Documents approaches to address research questions
Other
- Strong written and oral communication skills
- Strong organizational skills and attention to detail
- Ability to set priorities, exercise initiative, solve problems, adapt to changes quickly, make independent judgments, work on multiple projects simultaneously, meet dynamic deadlines, and work independently and collaboratively as a team
- Demonstrated strong work ethic and professionalism, including responsibility and reliability
- A track record of positive impact in your local working environment and/or direct contributions to projects with a positive social impact
