VP Data Science

ExecuNet
ExecuNet

Job Overview

Position Purpose:

Provide strategic vision and alignment for client engagements, synthesizing complex, technical concepts that resonate with technical and non-technical audiences
Engage to identify new and improved pathways for data-powered solutions
Provide expertise in as statistical methods, machine learning, AI, distributed computing, and programming with open-source languages
Deliver thought leadership and innovation in process, technique, and implementation.
Conduct research to advance the collective knowledge and skills of our Data Science practice

Qualifications:

Provide mid- to long-term strategic and tactical direction and operational oversight by leading cross-functional teams to define, implement and promote cutting-edge analytical and data engineering solutions with new and existing clients, such as end-to-end customer data integration, activation and enablement, rigorous statistical modeling and inferential analysis, and AI development.

Education/Experience:
Bachelor’s degree in a quantitative discipline such as Statistics, Biostatistics, Informatics, Mathematics, Computer Science, Public Health, or Economics. Master’s degree preferred. 8+ years of data analysis, statistics or related experience. Healthcare industry preferred.

VP Data Science 1

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