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West Coast University · 12 hours ago

Senior Data Scientist

Irvine, CA

Full-time

Onsite

Senior Level

$138K/yr - $200K/yr

5+ years exp

West Coast University is committed to educating students in healthcare and is seeking a Senior Data Scientist to provide analytical guidance and support to decision makers. The role involves developing predictive models, extracting insights from data, and ensuring data integrity while collaborating with key stakeholders.

Higher Education

Responsibilities

Design and write programs and algorithms to train, test and develop complex analysis, predictive models, and detailed insights using Python, R, SPSS Modeler, SAS, and other appropriate best practice tools. Perform ad hoc requests to provide supervised and unsupervised analysis on student academic and success data, recruitment and enrollment data, state board pre-licensure exams, financial and operational data, and other efforts as assigned

Analyzes enterprise-wide data to understand behaviors and trends. Applies iterative process of analyze, test, learn, pivot or scale approach to analytical solutions. Develops and maintains predictive models to support prescriptive solutions including machine-learning algorithms. Applies both supervised and unsupervised methods to discover hidden insights within data

Interprets data using statistical techniques to analyze results and present output. Presents information using data visualization techniques and software. Distills complex data sets into a narrative that optimizes organizational outcomes while applying the art of storytelling. Proposes solutions and strategies to solve business opportunities. Monitors deployed solutions to ensure degradation and issues are proactively identified

Query, extract and mine necessary large data from Oracle CVUE database, CRM, IR&A Data Warehouse, College Board, IPEDS, National Student Clearing House, Common Dataset, and other utilities and sources. Be a champion of rigorous data integrity and collection across the institution

General Scope of Responsibilities: Collaborates with key stakeholders

Adheres to University policies and procedures and conducts job responsibilities in accordance with the standards set out in the University's Code of Ethical Conduct, Compliance Agreement, Sexual Harassment Policy or any of its policies and procedures, applicable federal and state laws, and applicable professional standards

Performs other duties as assigned

Qualification

Predictive modelingMachine learningData visualizationStatistical analysisPythonRSQLCloud environmentsData storytellingCritical thinkingProblem-solvingCollaboration

Required

Bachelor's degree in data science, statistics, economics, mathematics, engineering, or a related quantitative field is required

5+ year's experience in a data science or advanced analytics role

3+ year's experience developing, deploying, and implementing predictive models

Superior experience and working knowledge of model design, data analysis, exploratory quantitative methods feature/variable creation, model development, analytical solution implementation, and explainable advanced analytics methods

Proven experience investigating difficult problems with a natural curiosity in data discovery to create a high-quality solution

Demonstrated experience with hypothesis testing to ensure limitations and assumptions are either validated or minimized

Working knowledge of relational databases and database query tools (SQL Server or similar)

Demonstrated experience with cloud environments including Azure, AWS, Google cloud, advanced analytic methods including machine learning techniques (Gradient Boosting, Random Forest, Neural Networks, Clustering, PCA, NLP, Image analytics, etc.)

Familiarity with model explanation methods including SHAP, PDP, LIME, Sabaas, etc

Experience creating data visualizations using Power BI, Tableau, or similar applications

Proficiency using R, Python, SAS, or similar languages

Strong Excel skills