Wisconsin DHS-Embedded Data Scientist I

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process. Job Category:Academic Staff Employment Type:Regular Job Profile:Data Scientist I Job Summary:

This position is fully-embedded in the Wisconsin Department of Health Services (DHS), Division of Medicaid Services (DMS), Bureau of Fiscal Accountability and Management (BFAM), Integrated Data & Analytics Section (IDAS) and is maintained through a contract and ongoing partnership with the UW Institute for Research on Poverty (IRP).

The Institute for Research on Poverty (IRP) seeks a Data Scientist who will serve as a data expert for Medicaid health policy research in the Medicaid Evaluation and Research (MER) operational area at IRP. The position will work closely with DMS to prepare DMS data for evaluation and policy analysis and will support complex data projects and policy initiatives for Wisconsin's Medicaid and FoodShare programs. Working alongside DMS staff and contracted Medicaid Management Information System (MMIS) vendors, this role is responsible for the end-to-end lifecycle of data analysis and reporting-from gathering requirements with stakeholders to the technical development and analysis of ad hoc and standard reports. The ideal candidate bridges the gap between policy research and technology, ensuring all data outputs further Medicaid and Foodshare operations and implementation.

We aim to hire Data Scientists with expertise and experience with Medicaid claims data. When you join our team, you're not just bringing your expertise. We are committed to fostering your professional development goals and supporting your career advancement through continued learning opportunities.

This role is currently eligible for remote work. Continued remote work eligibility will follow University of Wisconsin-Madison policies and any future updates. Also this position requires reliable transportation for occasional onsite work if needed.

Key Job Responsibilities:

• 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

Department:

College of Letters & Science | Institute for Research on Poverty (IRP)

Compensation:

The expected salary range for this position is $75,000 - $100,000 for highly experienced candidates. Actual pay within this range will depend on experience and qualifications.

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Please review the summary of benefits for more information.

Required Qualifications:

• 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

Preferred Qualifications:

• Minimum one year of experience manipulating and merging large, complex administrative datasets
• Minimum one year of data life cycle management (DLM) experience including: data acquisition or collection, use, and long-term storage
• Experience working with administrative medical claims and enrollment data, with preference for Medicaid claims experience
• Ability to work with programmers and develop cooperative interpersonal relationships
• Working knowledge of the organization and functions of related Department of Health Services divisions and other State of Wisconsin agencies

Education:

Required:

Bachelor's Degree in social science, public/population health, data science/engineering/analytics, or related field

Preferred:

Master's Degree in social science, public/population health, data science/engineering/analytics, or related field

How to Apply:

Click the "Apply" button to start the application process.

To be considered for this recruitment, you must upload:

-Resume

-Cover Letter

The materials should address your experience relating to the qualifications referenced above.

There is only one attachment field; please upload all application materials here. All listed application materials must be submitted for your application to be considered. Please submit only the materials specified; additional materials will not be reviewed.

Selected applicants will receive an invitation to participate in interviews within 10-14 business days following the application deadline.

Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without need of employer sponsorship) on or before the effective date of appointment.

Contact Information:

Tim Connor, View email address on click.appcast.io or View phone number on click.appcast.io

Relay Access (WTRS): 7-1-1. SeeRELAY_SERVICEfor further information.

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

The University of Wisconsin-Madison is an Equal OpportunityEmployer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.

The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).

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