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Data Science Director
2 months ago
Job Title: Data Science Director
Company: Prosum
About the Role:
Prosum seeks a seasoned Data Science Director to lead its data science and AI initiatives. As a strategic leader, you will be responsible for defining and owning the standard of excellence for data science, machine learning, and AI across the organization.
Key Responsibilities:
- Lead the data science and AI team to design, develop, and implement innovative solutions that leverage data and advanced analytics to improve health outcomes, quality of care, and operational efficiency.
- Collaborate with clinical, research, and administrative stakeholders to represent team capabilities and identify high-impact use cases.
- Manage the end-to-end lifecycle of data and AI projects, including data acquisition, preprocessing, modeling, validation, deployment, monitoring, and maintenance.
- Provide technical guidance and mentorship to data scientists, engineers, and product/data analysts on the best practices and standards of data and AI development and delivery.
- Operate within the data and AI governance framework to ensure ethical, legal, and responsible use of data and AI across the organization.
Requirements:
- Minimum of 5 years of experience in leading and managing data and analytics teams with at least 3 years managing data science and AI projects or teams in a research or healthcare setting.
- Experience in mentoring and supervising data scientists, machine learning engineers, and product/data analysts.
- Experience managing successful collaborations with faculty, CROs, administrators, clinical leaders, and other external organizations.
- Demonstrated expertise in applying advanced statistical and machine learning techniques to real-world problems, such as predictive modeling, natural language processing, computer vision, or recommender systems at scale.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
Preferred Qualifications:
- Experience in securing and managing grants and contracts for data science and AI initiatives, as well as adhering to ethical and regulatory standards for data privacy and security.
- Proficient in using various programming languages and tools for data analysis and machine learning, such as AWS Sagemaker, Comprehend Medical, Python, SQL, TensorFlow, PyTorch, or Spark.
