Data Scientist III

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