Pearl Health

Vice President, Data Science and Analytics

Pearl Health

full-time

Posted on:

Origin:  • 🇺🇸 United States • Massachusetts, New York, Washington

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $240,000 - $280,000 per year

Job Level

Lead

About the role

  • Partner with executive leadership across the company to establish the DS&A team's strategic priorities and ensure bidirectional alignment with company goals.
  • Lead, mentor, and develop a team of DS&A managers and Principal Data Scientists, fostering their professional growth and career progression.
  • Define the team's multi-year research trajectory in collaboration with the Chief Data Science Officer, identifying new opportunities and fostering innovation.
  • Establish and refine robust frameworks and best practices for research, quality assurance, and operational efficiency to maximize your team's impact.
  • Collaborate with Engineering and Technical Operations leadership to envision and build a scalable, secure MLOps environment that meets future research and product needs.
  • Pioneer the application of Generative AI within DS&A operations to amplify the team's impact and serve as a model for broader company adoption.
  • Communicate complex technical concepts and strategic initiatives clearly and persuasively to executive leadership, investors, and external partners to influence critical decision-making.

Requirements

  • An advanced degree (Ph.D. or Master's) in a quantitative field such as Data Science, Computer Science, or Statistics, or equivalent practical experience.
  • 10-15 years of progressive experience in a quantitative field, with at least 5-7 years in senior leadership roles managing multiple teams.
  • A proven track record of defining, building, and scaling high-performing data science and analytics organizations within fast-paced environments.
  • Deep expertise in areas such as advanced machine learning, statistical modeling, experimental design, and causal inference.
  • A history of spearheading deep research initiatives that deliver innovative, production-ready models and drive significant business value.
  • Exceptional ability to communicate and collaborate effectively with diverse stakeholders at all levels, including executive leadership.
  • Extensive experience establishing and refining best practices for data governance, MLOps, and quality assurance.
  • Nice-to-haves: Experience working in the healthcare domain; Experience pioneering the use of Generative AI to improve operational efficiency or drive product innovation.