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Vice President of Data Science and Analytics Leadership
Vice President of Data Science and Analytics LeadershipConfidential • San Francisco, CA, United States
Vice President of Data Science and Analytics Leadership

Vice President of Data Science and Analytics Leadership

Confidential • San Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Vice President of Data Science and Analytics Leadership

About the Company

Join a prominent healthcare provider dedicated to serving the local community and making a difference in the health sector.

Industry

Hospital & Health Care

Type

Privately Held, VC-backed

Founded

2020

Employees

51-200

Funding

$76-$100 million

Categories

  • Health Care
  • Healthcare
  • Medical Care
  • Ambulatory Services
  • Ambulance
  • Computer Programming
  • Software
  • Professional Services
  • Computers
  • Health Diagnostics
  • Personal Health
  • Primary and Urgent Care

About the Role

The Company is looking for a visionary Vice President of Data Science and Analytics Leadership to redefine our data initiatives and drive impactful research projects. In this crucial role, you will influence business outcomes by empowering providers navigating toward value-based care. You will lead efforts to build and scale high-performing teams while fostering a culture of technical excellence.

You will collaborate with executive leadership to define strategic priorities, manage a team of analytics experts, and establish a forward-thinking multi-year research trajectory. A critical part of this role involves working with engineering and technical operations to create a robust and secure MLOps environment and explore the groundbreaking integration of Generative AI within our data operations.

The ideal candidate will possess an advanced degree in a quantitative field or equivalent experience, with 10-15 years in quantitative roles and 5-7 years in leadership positions. Your background should demonstrate a stellar record of building data science and analytics organizations in dynamic environments. Expertise in advanced machine learning, statistical modeling, experimental design, and causal inference is essential, along with experience in delivering innovative, production-ready research models.

Exceptional communication and collaboration skills are necessary for success in this role. You should also bring extensive knowledge of data governance, MLOps, and quality assurance, paired with a passion for leading teams. Experience in healthcare and familiarity with Generative AI would be advantageous, but not required.

Hiring Manager Title

Chief Data Science Officer

Travel Percent

Less than 10%

Functions

  • Data Management / Analytics
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    Vice President Data Science • San Francisco, CA, United States

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