Classification Title:
Data Scientist III
Classification Minimum Requirements:
A Bachelor''''s Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience; Master''''s Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and one year of experience.
Job Description:
The Office of Institutional Planning and Research (OIPR) is seeking a Data Scientist III to serve as a technical leader in applying advanced analytics, statistical modeling, and data science methodologies to institutional planning and decision-making. This role plays a key part in modernizing our analytical capabilities, transforming complex institutional data into scalable solutions, and providing strategic insights to university leadership.
Key Responsibilities:
- Advanced Modeling & Predictive Analytics: Design and execute statistical models, predictive forecasts, simulations, and scenario analyses using machine learning techniques such as classification, clustering, and segmentation to address complex institutional questions.
- Data Solutions & Visualization: Build interactive dashboards, data visualizations, and analytical applications using Python, R, SAS, SQL, Snowflake, and Tableau to make multi-source institutional data accessible to decision-makers.
- Institutional Research & Strategic Support: Lead and contribute to institutional research initiatives, strategic planning activities, and leadership reporting requests by translating findings into actionable insights and clear stakeholder presentations.
- Modernization & Process Automation: Identify and implement opportunities to streamline analytical workflows, build automated data pipelines, and transition proof-of-concept solutions into sustainable, production-grade tools.
- Technical Leadership & Collaboration: Direct data science project priorities, provide technical guidance and supervision to assigned staff, and collaborate closely with IT partners, OIPR analysts, and campus stakeholders.
Expected Salary:
Expected starting salary is $95,000 annually; commensurate with education and experience.
Required Qualifications:
A Bachelor''''s Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience; Master''''s Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and one year of experience.
Preferred:
- Advanced Analytical Expertise: Proven experience applying advanced analytical and statistical methods, such as predictive modeling, forecasting, simulation, scenario analysis, classification, clustering, segmentation, and natural language/text analytics, to complex data.
- Programming & Data Proficiency: Strong expertise in Python, R, SAS, and SQL, with a demonstrated ability to work with large, complex datasets sourced from multiple environments.
- Modern Data Platforms: Hands-on experience with modern data platforms, cloud technologies, Snowflake, APIs, version control systems, and machine learning libraries/frameworks.
- Data Visualization & BI: Demonstrated experience creating interactive dashboards, visualizations, and analytical products using Tableau, Power BI, or comparable business intelligence tools.
- Workflow Automation: Experience designing reusable analytical pipelines, automated processes, and scalable solutions that improve the consistency and sustainability of reporting operations.
- Domain & Enterprise Experience: Background in higher education research, institutional research, or education policy within a complex organizational setting, including familiarity with enterprise administrative systems like PeopleSoft or Workday.
- Leadership & Collaboration: Experience providing technical leadership, project direction, mentoring, or supervision to technical staff, alongside strong communication skills to translate complex analytical findings for diverse audiences.
Special Instructions to Applicants:
In order to be considered, applicants must upload a cover letter, resume and a list of professional references.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
Health Assessment Required: No