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Vice President of Data Science
Vice President of Data ScienceConfidential • Atlanta, GA, United States
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Vice President of Data Science

Vice President of Data Science

Confidential • Atlanta, GA, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Vice President of Data Science

About the Company

Innovative healthcare technology company

Industry

Computer Software

Type

Public Company

Founded

2000

Employees

1001-5000

Categories

  • Health Care
  • Innovation Management
  • Information Technology & Services

Specialties

  • revenue cycle management
  • healthcare information technology
  • and claims management
  • claims management
  • healthcare payments
  • patient payments
  • patient financial experience
  • financial clearance
  • revenue capture
  • denial management
  • automation
  • ai
  • rpa
  • robotic process automation
  • hospitals and health systems
  • physician groups
  • healthcare claims management
  • rcm
  • healthit
  • fintech
  • and software
  • About the Role

    The Company is seeking a VP of Data Science to lead the strategic and technical aspects of data science, with a focus on the evolution of its mission-critical platform. The successful candidate will be responsible for establishing and executing a comprehensive data science and machine learning strategy that directly contributes to the development of new product capabilities and delivers significant business value. This role requires a visionary leader with deep technical expertise in machine learning, including foundation models, and a proven track record of delivering production-grade solutions that improve customer outcomes in complex, regulated environments. The VP of Data Science will also be tasked with leading a high-performing team, driving innovation in healthcare revenue cycle management, and ensuring the integration of data science and ML into the company's core offerings.

    Candidates for the VP of Data Science position at the company should have a Master's or Ph.D. in a quantitative field and at least 12 years of experience in data science, with a minimum of 5-7 years in a senior leadership role. The role demands a leader with a strong background in machine learning principles, advanced algorithms, and healthcare data, particularly in the areas of EHR data, claims, and remittances. The ideal candidate will have a proven ability to translate business challenges into high-ROI data science roadmaps and a successful history of applying data science to both clinical and financial data. Technical expertise in machine learning, including NLP, generative AI, and predictive modeling, is essential, as is a commitment to the highest standards of data governance, privacy, and algorithmic fairness. The VP of Data Science will also be expected to act as a thought leader, both within the company and in the broader industry, and to ensure that the team operates with the highest standards of technical excellence and continuous learning.

    Hiring Manager Title

    SVP of Data Science + Analytics

    Travel Percent

    Less than 10%

    Functions

  • Data Management / Analytics
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