Data Scientist - Remote

The Data Scientist will work with cutting edge cloud-based services and machine learning algorithms to modernize the way artificial intelligence (AI) is deployed in healthcare. In partnership with clinicians, cloud partners, and business owners the DS will work backwards from business objectives to drive scalable machine learning solutions and pull through the appropriate technology as needed. The incumbent will be a technical leader influencing the analyses and promoting best practices within the team.

Responsibilities

THE DETAILS

Identify the data-analytics problems that offer the greatest opportunities to the organization Determine the correct data sets and variables Collect large sets of structured and unstructured data from disparate sources Clean and validate the data to ensure accuracy, completeness, and uniformity Devise and apply models and algorithms to mine the stores of big data Analyze data to identify patterns and trends Interpret data to discover solutions and opportunities Perform statistical analytical techniques ranging from basic descriptive techniques to advanced regression and multi-variable techniques, using various statistical software programs Communicate findings to stakeholders using visualization and other means Make recommendations for new metrics, apply analytical techniques, and build ML models to improve insights for clinical analytics Maintain an understanding of the latest trends in data science and machine learning Lead development, execution, and validation of highly complex algorithms and predictive models from large sets of data Partner with business subject matter experts to select relevant sources of information and collect necessary data Communicate new knowledge and insights gained from mining and analyzing large data sets Transfer knowledge and concepts to IS and business teams that are implementing the actual system Mentor and work collaboratively with other data scientists on specific projects, improving team infrastructure and participate in methodology and code reviews Research and implement novel ML approaches to accelerate interoperability, knowledge extraction, enterprise search, real-time workflow orchestration, and more This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.