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Director, Lead Data Scientist - Remote

Posted 17 weeks ago
Data Analysis
Full Time
USA

Overview

Vee Healthtek is looking for a talented and experienced Director, Lead Data Scientist who will serve as a steward & technical leader for our data-led initiatives to transform healthcare. This role focuses on improving the efficiency and effectiveness of clinical and administrative tasks using data insights.

In Short

  • Lead data science initiatives in healthcare.
  • Work with business leaders to identify problems and solutions.
  • Build advanced data intelligence insights using statistical modeling.
  • Collaborate with various teams to deliver insights.
  • Conduct skunkworks projects for new technology solutions.
  • Communicate effectively with technical and non-technical audiences.
  • Guide teams in building appropriate models.
  • Utilize advanced techniques in AI and ML.
  • Strong project management skills required.
  • Experience in healthcare data is essential.

Requirements

  • 10+ years of data science experience, with 5+ years in leadership.
  • Advanced degree in Business, Engineering, or related fields.
  • Expertise in deep learning, NLP, and predictive modeling.
  • Strong programming skills in Python and R.
  • Experience with big data technologies.
  • Healthcare experience is a must.
  • Strong communication and leadership skills.

Benefits

  • Opportunity to lead impactful projects in healthcare.
  • Work with a dynamic and interdisciplinary team.
  • Flexible work environment.
  • Continuous learning and development opportunities.
Vee Healthtek logo

Vee Healthtek

Vee Healthtek is a forward-thinking organization dedicated to transforming healthcare through data-driven initiatives. The company emphasizes the critical role of data in enhancing the efficiency and effectiveness of clinical and administrative tasks within the healthcare sector. By collaborating with various stakeholders, including business leaders and subject matter experts, Vee Healthtek aims to identify and solve complex problems using advanced data science techniques. The organization is committed to innovation, leveraging cutting-edge technologies such as AI, machine learning, and statistical modeling to develop solutions that improve healthcare delivery and operational processes.

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