Data Scientist 1

Case Western Reserve University is committed to providing a transparent estimate of the salary range available for this position at the time of its posting. The salary range is between $71,041 and $89,867, depending on qualifications, experience, department budgets, and industry data.

Employees receive more than just a paycheck. University employees enjoy a comprehensive benefits package that includes excellent healthcare, retirement plans, tuition assistance, paid time off, and a winter recess.

Under limited supervision, create, test, and train data models for university business office clients. Provide university comprehensive support for artificial intelligence and machine learning models, which provide predictive and prescriptive analysis of university business performance for enhanced management of the organization. Provide advanced support for business management, university leadership, and other data end users in the form of synthesized insights drawn from statistical and visual analysis of university data assets for improved business efficiency and decision-making at all levels of the organization.

• Import data from desperate source systems into the enterprise data lake, creating effective, scalable data pipelines for data analytics developers and data scientists in UTech and across the organization. Design and develop programs to address requirements for data transformations and metadata documentation. Maintain a high level of data ethics managing and maintaining university data. (30%)
• Design and develop data analytics visualizations and data models for predictive and prescriptive analytics products using advanced statistical and mathematical concepts. Monitor, train, and improve data models to be as accuracy and beneficial as possible. Apply Machine Learning, Artificial Intelligence and Statistical expertise to implement analytics digital solutions that increase efficiency, reduce operational costs, and improve decision making and asset management.
  
  (30%)
• Provide technical support for data analytics applications including analyzing, troubleshooting, and resolving complex performance issues on enterprise data pipelines. Collaborate in the definition of data requirements, perform modelling and analysis, validate with the subject matter experts (SMEs), examine and identify patterns and trends to help answer business questions. (30%)
• Mentor team members to improve data analytics maturity at the organization. Coordinate and integrate assigned work with other team members. (10%)

Perform other duties as assigned. (