Operations Modeling Data Scientist – System Application Analyst, Senior
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Job Description
Data Scientist responsible for predictive modeling and analytics at OHSU, enhancing healthcare operations through advanced analytics. Collaborating with technical teams and managing projects in a remote setting.
Responsibilities:
- This position is responsible for building predictive, forecasting, and optimization models for the system of hospitals at OHSU health.
- Designs models necessary to forecast capacity issues facing the institution.
- Providing technical leadership for defining and developing advanced analytics products.
- Use methods from statistics (regression, survival modeling), econometrics (time series), and AI modeling (LLM or multi-modal).
- Develop code that meets standards for reliability and scalability.
- Output from the model should be provided in various forms to allow other users across the institution to use them.
- Delivering business intelligence products under required timelines and quality standards.
- Work with ETL engineers to ensure efficient use of data.
- Creating and maintaining a dashboard tool for visualizing and interacting with models.
- Analyzing present and future data needs of customers and makes recommendations on options and alternatives for implementing applications, systems, or clinical/operational workflows and processes.
- Configuration of output for use in dashboards, databases or other tabular forms.
- Assists customers with the development of test plans and testing schedules for new systems and applications.
- Contributing to the design of analytic, application, or workflow specifications for the most complex and critical OHSU systems and applications.
- Ensuring data integrity and validity of models and systems.
- Designs, develops and documents new applications and systems or clinical/operational workflows.
- Design data reporting to make modeling results available to customers and other analysts at the institution.
- Works with vendors, other technical staff and customers to design, develop, test and implement interfaces between systems.
- Will fully understand and utilize the System Development Life Cycle (SDLC) process and procedures at OHSU.
- Will manage projects by creating timelines, identifying risks and milestones, and providing status reporting to others as defined.
- Assumes project management responsibilities for small projects or sub-projects within a larger project.
Requirements:
- Master’s degree in computer science, a related field, or a clinical field and four years work related experience in the information technology field or a combination of clinical or operational healthcare environments; OR Bachelor’s degree in computer science, a related field, or a clinical field and six years work related experience in the information technology field or a combination of clinical or operational healthcare environments; OR Associate’s degree in computer science, a related field, or a clinical field and seven years work related experience in the information technology field or a combination of clinical or operational healthcare environments; OR Eight years work related experience in the information technology field or a combination of clinical or operational healthcare environments; OR Equivalent combination of education and experience where one year of experience will be substituted for an Associate’s degree and two years of experience will be substituted for a Bachelor’s degree.
- 3 years of experience in a healthcare setting using diverse sets of data for modeling.
- Demonstrated involvement of technology solutions for product development.
- Verbal, written, and presentation skills for an executive audience.
- Knowledge, Skills, and Abilities Time Series forecasting using ARIMA.
- Statistical modeling using Time to event (survival) methods.
- Data Visualization experience with Power BI, Tableau, Python.
- Predictive modeling using R, Python (pandas, numpy, matplotlib, scikit-learn).
- Strong experience with cloud-based platforms (Fabric, Databricks) and transformation tools (PySpark, MLFlow).
- Understanding of health record data.
- Programming in a GIT environment.
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