"Alerted.org

Working Title: Data Scientist

Job Class: Research Scientist 3

Agency: Human Services Dept

+ **Job ID** : 86718

+ **Location** : St. Paul

+ **Telework Eligible** : Yes

+ **Full/Part Time** : Full-Time

+ **Regular/Temporary** : Unlimited

+ **Who May Apply** : Open to all qualified job seekers

+ **Date Posted** : 06/06/2025

+ **Closing Date** : 06/26/2025

+ **Hiring Agency/Seniority Unit** : Human Services Dept / MAPE DHS Central Office

+ **Division/Unit** : DHS-Central Office / DHS Bus Solu IDP Data Prod Grp

+ **Work Shift/Work Hours** : Day Shift, 8:00am - 5:00pm

+ **Days of Work** : Monday - Friday

+ **Travel Required** : No

+ **Salary Range:** $36.71 - $54.60 / hourly; $76,650 - $114,004 / annually

+ **Classified Status** : Classified

+ **Bargaining Unit/Union** : 214 - MN Assoc of Professional Empl/MAPE

+ **FLSA Status** : Exempt - Professional

+ Designated in Connect 700 Program for Applicants with Disabilities (https://mn.gov/mmb/careers/diverse-workforce/people-with-disabilities/connect700/) : Yes

The Department of Human Services is unable to provide sponsorship for work visas. Applicants must be eligible to work in the United States at the start of employment. DHS does not participate in E-Verify.

The work you'll do is more than just a job.

At the State of Minnesota, employees play a critical role in developing policies, providing essential services, and working to improve the well-being and quality of life for all Minnesotans. The State of Minnesota is committed to equity and inclusion, and invests in employees by providing benefits, support resources, and training and development opportunities.

_***This position is eligible for telework to applicants who reside in Minnesota or a bordering State (Iowa, North Dakota, South Dakota, Wisconsin). Effective June 1, employees living within 50 miles of the office location listed above will be required to work in the office at least 50% of the time each month. For those who live 50 or more miles away, with supervisory approval and satisfactory performance are eligible to telework up to 100% of the time.***_

We are seeking a Data Scientist who is not only passionate about deriving insights from data but also skilled in building robust data infrastructure. This role requires a unique blend of data science, data engineering, and data architecture expertise.

The Enterprise Data Scientist performs complex research studies that help the Integrated Service Delivery (ISD) Product Line team make decisions that produce better outcomes for Minnesotans. This includes independently determining, designing, and implementing the procedures and methods used in research projects, in areas with little or no procedural precedent. They are charged with using data to inform and lead the delivery of the enterprise products the comprise of the ISD Product Line, that allows for Minnesotans to simultaneously apply for many of Minnesota's social safety net programs (including cash assistance and the federal Supplemental Nutrition Assistance Program (SNAP) without having to mail or deliver documents to different government agencies.

Responsibilities include but may not be limited to:

+ _Lead, manage and implement complex data and research analysis._

+ _Establish and lead the long-term vision of the Product’s data pipeline leading all aspects of the data lifecycle, key metrics, performance measures and outcomes for the product line to support the Product Team’s priorities in conjunction with policymakers and program administrators._

+ _Serve as the strategic data and evaluation planner, technical expert and analyst._

+ _Coordinate, develop, initiate, and respond to information requests from the Product Team and from_ **_stakeholders._**

+ Augment the roles and responsibilities of other team members; jointly address and develop solutions to problems.

Minimum Qualifications

_**To facilitate proper crediting, please ensure that your resume clearly describes your experience in the areas listed and indicates the beginning and ending month, day and year for each job held.**_

Three (3) years of experience in a quantitative field, such as research, program evaluation principles and practices, performance measurement and/or business analytics.

Experience must demonstrate:

+ Ability to analyze, interpret and communicate data, recommendations and complex technical or statistical information in ways that are meaningful.

+ Deep understanding of data transformation principles, including cleaning, deduplication, validation, and anomaly detection.

+ Ability to design and implement data pipelines from relational databases (preferably PostgreSQL) to cloud-based platforms.

+ Designing and leading research, and evaluation activities that lead to quantifiable results.

+ Proficiency in writing complex SQL queries and experience with ETL/ELT processes.

+ Proficient in exploring & analyzing unstructured / text data and conclude findings/insights.

+ Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives.

+ Excellent communication skills.

Preferred Qualifications

+ Hands-on experience with Delta Lake, Spark (PySpark or Scala), and Databricks Workflows.

+ Experience with cloud-based platforms such as Databricks, AWS, or Azure.

+ Using data sets to reflect the user experience of a product, such as identifying trends related to user needs and behaviors.

+ Ability to develop scalable and maintainable transformation logic using best practices in data engineering

+ Understand “protected class” predictors, and current industry trends across the data privacy conversation.

+ Work experience in customer analytics, personalization, consulting, or data engineering role, preferably in an Agile environment.

+ Familiarity with CI/CD for data workflows and version control systems such as Git.

+ Considerable experience and proficiency with data manipulation and analysis, including creation of queries and reports from databases, using Tableau, SAS, R, or comparable software packages and automated systems.

+ Variety of experiences working effectively with others from different backgrounds and cultures.

Additional Requirements

REFERENCE/BACKGROUND CHECKS – DHS will conduct reference checks to verify job-related credentials and a criminal background check prior to appointment.

AN EQUAL OPPORTUNITY EMPLOYER

Minnesota State Colleges and Universities is an Equal Opportunity employer/educator committed to the principles of diversity. We prohibit discrimination against qualified individuals based on their race, sex, color, creed, religion, age, national origin, disability, protected veteran status, marital status, status with regard to public assistance, sexual orientation, gender identity, gender expression, or membership in a local commission as defined by law. As an affirmative action employer, we actively seek and encourage applications from women, minorities, persons with disabilities, and individuals with protected veteran status.

Reasonable accommodations will be made to all qualified applicants with disabilities. If you are an individual with a disability who needs assistance or cannot access the online job application system, please contact the job information line at 651-259-3637 or email [email protected] . Please indicate what assistance is needed.