The Director of Data Science will provide leadership and direction to the continued development of our natural language processing (NLP) system which extracts structured data from free form medical text. NLP plays two major roles: (1) providing information that is often not stored in structured fields and (2) bringing contextual information related to the 'how' and 'why' complementing the 'what' and 'when' of structured data, such as reasons for switching medications . Because of the value it brings, the data asset from NLP is used throughout Optum Enterprise Analytics’ products and services.
Primary Responsibilities:
Direct a team of Machine Learning professionals, including both day to day management of the group AND setting the strategy for the team in concert with the direction of the company
Manage the NLP roadmap by working with Life Sciences and Provider organizations to identify and prioritize needed enhancements and extensions to the NLP system
Manage NLP development based on the roadmap
Work with Life Sciences, Clinical Informatics, Data Operations, and Product Engineering to ensure that roadmap items that will result in changes to the NLP data structure can be incorporated into existing products via backwards compatibility or planned for cross-functional development
Present the Optum Analytics NLP vision and capabilities to key external clients
Manage fulfillment of ad-hoc requests for information to support Life Sciences proposal requests by NLP staff
Required Qualifications:
PhD in Computer Science or related field
7+ years of Machine Learning development experience
5+ years of experience in managing development teams in a cross-functional environment
Experience in Natural Language Processing
Experience in client-facing roles – ability to interact with technical and non-technical audiences
Expertise in developing strategic roadmaps for expanding Machine Learning capabilities
Demonstrated capability of successfully managing multiple projects simultaneously
Knowledge of Python, C++, or Java
Experience managing Big Data projects using Hadoop/Spark
Experience with Machine Learning toolkits, e.g., TensorFlow, scikit-learn
Preferred Qualifications:
Published results in peer-reviewed Machine Learning journals / conferences
Experience in the Healthcare industry
Ability to work in a complex matrix environment
Excellent communication skills
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