Data Engineer/Data Scientist

• Access, cleanse, compile and transform disparate data sets to conduct exploratory and pre-defined analyses using scientifically valid techniques and generate meaningful insights
• Assist with feasibility studies to identify data availability, quality and modeling requirements and dependencies
• Support modern data storage, movement, and transformation architectures and techniques to extract and engineer features from any scale structured or unstructured data in health, IT system, business process, or external data
• Contribute to discovery or engineering of explanatory features in high-dimensionality collections of data that relate to clinically, financially, and/or operationally important use-cases using scientifically valid techniques
• Support iterative selection and application of modern statistical and machine learning techniques and evaluation methods to engineered features to derive a best candidate model
• Interact with business teams and leaders to identify relevant questions and issues for data analysis and experimentation that support business needs or problems
• Propose new uses for existing data sets or sources, algorithms and predictive models

Office Location Note

In Office. Candidate should go into the Oracle Office daily. Ideally in one of these offices because we have teams in these offices:

• Redwood City
• Austin, TX
• Reston, Virginia

• Languages: Python, Java, SQL
• Dashboards: Grafana, OpenSearch, Oracle Analytics Cloud
• Cloud Development: AWS, Microsoft Azure, Google Cloud, OCI Cloud; building ETL pipelines
• Nice to have: AI experience