•Be a hands-on leader of a team of AI/ML researchers in the Optum AI team and solve real-world problems in the Healthcare domain using cutting-edge capabilities and emerging technologies.

•Deliver advanced Machine Learning capabilities in a meaningful manner through successful proof-of-concept solutions, and later on smoothly transition the proof-of-concept into production, partnering with delivery Data Science and Technology teams. E.g. Build and demonstrate a prototype Reinforcement Learning application in the Healthcare space.

•Conduct evaluations and assessments of new tools and technologies to ensure that the team stays at the frontier of Artificial Intelligence & Machine Learning. E.g., Evaluate application of Knowledge Graphs on life sciences data.

•Participate in the process to mature the EDA Data Science practice in terms of developing best practices related to Data Science and Machine Learning; identifying appropriate training to keep the community upskilled on latest tools and methodologies; and lead expert groups for one or more specialized topics.

Qualification:

Experienced researcher with 12+ years of experience in developing and deploying Machine Learning (ML) solutions to generate business value. Experience in ML R&D with demonstrable impact is preferred.

•Minimum of 5 years of mentoring, and grooming a small team of Data Scientists / ML Engineers.

•Should have worked in Healthcare and have prior understanding of the kind of data, systems and problems involved in Healthcare – exposure to U.S. Healthcare is a plus.

•Graduate degree from a renowned institute in: Engineering/Statistics/Economics/Computer Science/ Mathematics (with a strong quantitative background). Post-graduate degree is a good-to-have.

•Consistent track record of building and successfully deploying Machine Learning solutions with demonstrable value to the organization.

•Should possess strong technical writing skills and must have published research papers in leading academic journals on topics related to Artificial Intelligence & Machine Learning.

•Excellent consulting skills, including the ability to engage with and present to CXO leaders as well as stakeholders

with minimum to high analytics exposure across various departments in an organization.

•Should have good conflict management and prioritization skills.

•Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions.

•Strong to Expert level programming ability Python – knowledge of Java and / or R is a plus.

•Should have demonstrated hands on experience in working with Big Data technologies such as SPARK.

•Should have worked hands-on on the cloud and have familiarity with cloud-based AI/ML services – knowledge of Azure is a plus.

•Possess good presentation and public speaking skills; ability to organize and present information to audiences with disparate levels of technical understanding.

•Should be able to work well in a matrix organization and possess strong collaboration skills as well as the ability to build partnerships.

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