Develop expertise in the content, structure, and idiosyncrasies of Medicaid/ FoodShare data by understanding the origin and interpretation of variables, as well as learning about policy issues related to the data
Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
Documents approaches to address research questions
Review and analyze changes in federal and state regulations for impact on Medicaid/Foodshare policy and processes, especially those necessary for data collection and reporting.
Implement necessary revisions to reporting frameworks to ensure compliance with shifting regulations
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
Organizes and automates project steps for data preparation and analysis
Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators

Data science experience including: data extraction, transformation (wrangling, cleaning, and merging), and loading; computer systems capability; and programming languages for databases such as SQL, SAS, R, or Python
Knowledge of the Medicaid Enterprise System (MES) and Income Maintenance (IM) databases, their design, and capabilities
Experience providing data visualization and analysis using software such as SAS, R, and/or Tableau
Knowledge of statistical methodologies and system analyses to conceptualize effects of program and policy alternatives
Ability to translate policy into user-friendly logic flows and actionable project recommendations
Knowledge of and skill with MS Office Suite (MS Excel, MS Word, MS Outlook, MS Access, and MS Visio)
Strong written and oral communication skills
Strong organizational skills and attention to detail

Embedded Data Scientist I

Key skills