Principal Data Science Analyst
On-siteRochester, Minnesota, United States
Job Summary
Conduct advanced data analysis and design highly complex algorithm systems to discover patterns and insights from structured and unstructured data. Develop predictive and prescriptive models using machine learning, statistical techniques, and data mining to address complex problems and identify opportunities. Collaborate with knowledge architects, informaticians, and clinicians to deploy AI applications at the point of care, while making presentations on assigned projects or proposals. Lead and direct the interpretation of data analysis, write reports, and initiate judgment on delegated responsibilities. Functions independently to validate findings through experimental design approaches.
Required Qualifications
- deep expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data
- deep knowledge of healthcare data types, topics, and scientific challenges and approaches
- Experience leading technical/quantitative teams
- Develops experimental design approaches to validate findings or test hypotheses
- Identifies/creates the appropriate algorithm to discover patterns
- Conducts advanced data analysis and designs highly complex algorithm systems
- Functions independently and initiates judgment in handling delegated responsibilities
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.