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Summary The Data Scientist II is responsible for producing valuable information from very large sets of structured, semi-structured, and unstructured data. They establish and maintain strong relationships with peers and leaders across IAR, Data Engineering, Product Management, Finance, EdTech, and Faculty staff. They utilize statistical models, machine learning, text mining, natural language processing, and other methods to create predictive models. These models may be integrated into new or existing workflows.

Job Duties * Documents data, analytics, and research needs in projects of high complexity with a student and equity-centered lens, collaborating with peers, cross-functional partners, faculty staff, and leaders. Translates user stories into technical requirements. * Sets and manages expectations about analytics tasks and activities through clear, timely, and effective communication with partners and stakeholders. * Answers complex business questions requiring extensive knowledge of the university's data assets across several domains and departments. * Identifies adequate data sources and data sets to evaluate hypotheses and produce forecasts. * Analyzes large data sets from both structured and unstructured sources and develops statistical and predictive models. * Collaborates with Data Engineering in the development of ETL/ELT processes and data pipelines. * Identifies, investigates, and solves complex data issues, contributing to the accuracy, completeness, consistency, timeliness, and validity of the university's data. * Collaborates with Data Engineering and other data and analytics partners to define standards and best practices that increase data quality across the university. * Utilizes software, scripts, and algorithms to perform complex data-related tasks (e.g., importing, cleaning, transforming, analyzing, displaying) without human intervention. * Combines data analysis, visualization, and narrative structures to convey information in compelling ways that instigate deliberate action. * Conveys information effectively to peers, partners, and senior leaders, using a variety of resources and formats (synchronous and asynchronous, verbal and written) such as e-mails, presentations, meetings, and workshops. * Creates and organizes information about processes, projects, operations, data assets, and insights from analyses and research, making it accessible in ways that increase the university's knowledge and efficiency. * Writes and interprets technical documentation (e.g., Entity-Relationship, Conceptual, Logical, and Physical data models). * Contributes actively to the development of the university's data management platforms (e.g., data dictionaries, catalogs, etc.). * Supports and accelerates other team members' development through... For full info follow application link.

Western Governors Univeristy is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation or any other classification protected by federal, state or local law.