Data Scientist - Research Analysis Spec Sr

This position is responsible for advancing the data and analytic capabilities of the Office of Inspector General (OIG) to promote program integrity, accountability, fraud detection, and regulatory compliance; support data-driven decision-making; and enhance overall operational effectiveness. The incumbent will:

• Implement the Office of Inspector General’s data strategy and expand the use of data to empower better decision-making, program compliance, and program integrity in partnership with OIG business partners.
• Create dashboards, visualizations, reports, and presentations of data analyses to inform management decision-making and assist in strategic planning.
• Respond to internal and external requests for data and information related to OIG data.
• Provide technical consultation to OIG management and staff in data analyses, analytic model development, payment methodologies, cost analyses, statistical and analytic techniques, research methodologies, survey design and evaluation, performance measurement, statistical analysis methodologies, data governance, and OIG data systems and tools., It is the policy of the Department of Children, Youth, and Families that the individual selected for this position successfully complete a background investigation prior to employment, that may include the following components:
• Reference check
• Criminal Background check
• Fingerprinting check (MNJIS/CJIS)
• Driver’s License Check
• Personnel File Review: all current and former public sector employees
• Additional assessment may be required during the interview process, * A voluntary confidential program that helps employees and their families with life challenges that may impact overall health, personal well-being, or job performance
• Common sources of stress can be addressed through the EAP: mental health, relationship challenges (personal and work), grief and loss, finances, and legal issues
• Daily Living/Convenience Services: Chore services, home repair, trip planning, child/elder care

The Department of Children, Youth, and Families is unable to provide sponsorship for work visas. Applicants must be eligible to work in the United States at the start of employment. DCYF does not participate in E-Verify., To facilitate proper crediting, please ensure that your resume clearly describes your experience in the areas listed and indicates the beginning and ending month and year for each job held.

Three (3) years* of experience performing data analysis and reporting; conducting spatial or statistical analysis or modeling; programming to extract, manipulate, and analyze data; and developing data visualizations to present analytical findings.

Experience must demonstrate the following:

• Data collection, data analysis, data manipulation, data transformation and interpretation.
• Structured Query Language (SQL).
• Data visualization (Tableau, PowerBI, Looker, Qlik).
• Analytic tools/platforms (Alteryx, R Studio, SAS, Databricks, Anaconda).
• A Bachelor’s Degree in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining, economics, finance or other analytical fields as determined by the agency may substitute for one year of experience. A Master’s Degree may substitute for eighteen months of experience., * Experience in fraud, oversight, licensing, compliance, audit and/or compliance analytics.
• Experience implementing instrument-based program monitoring, key indicator systems, differential monitoring, risk assessments, weighting systems, outcome-based measurements, and fraud detection models in a large complex regulatory system.
• Experience in using one or more of the following applications/data systems: MMIS, MAXIS, MEC2, LIS/ELMS/Salesforce Hub, DEED, case tracking applications, NetStudy 2.0, SSIS.
• Experience in synthesizing and organizing large volumes of complex information and presenting them in a succinct, easily understandable fashion to key stakeholders.
• Proficiency in programming and manipulation of data and statistical analysis of data with software such as SAS, Python or R including multiple regression techniques.
• Experience with data privacy laws and rules such as the Minnesota Government Data Practices Act and the Health Insurance Portability and Accountability Act (HIPAA).
• Variety of experiences working effectively with others from different backgrounds and cultures.

As an employee, you’ll have access to one of the most affordable health insurance plans in Minnesota, along with other benefits to help you and your family be well.

Your benefits may include:

• Paid vacation and sick leave
• 12 paid holidays each year
• Low-cost medical, dental, vision, and prescription drug plans
• Fertility care, including IVF
• Diabetes care
• Dental and orthodontic care for adults and children
• 6 weeks paid leave for parents of newborn or newly adopted children
• Pension plan that provides income when you retire (after working at least three years)
• Employer paid life insurance to provide support for your family in the event of death
• Short-term and long-term disability insurance that can provide income if you are unable to work due to illness or injury
• Tax-free expense accounts for health, dental, and dependent care
• Resources that provide support and promote physical, emotional, social, and financial well-being

Support to help you reach your career goals:

• Training, classes, and professional development
• Tuition reimbursement
• Federal Public Service Loan Forgiveness Program (Some positions may qualify for the Public Service Loan Forgiveness Program. For more information, visit the Federal Student Aid website at studentaid.gov)

Employee Assistance Program (EAP) for work/life support