Senior Data Scientist
Surgical Data Science Collective- Full Time
- Senior (5 to 8 years)
Candidates must possess at least 3 years of experience as a Data Scientist with relevant analytical experience, 3 years of programming experience in Python, 3 years of SQL programming experience, and 2 years of experience with Cloud platforms such as GCP, AWS, or Azure. Furthermore, they should have 2 years of experience developing algorithms and statistical predictive models, along with a broad knowledge of the organization or healthcare industry.
The Senior Data Scientist will develop and utilize algorithms and statistical predictive models to optimize patient-provider interaction scenarios, perform analyses of structured and unstructured data to solve complex business problems, collaborate with business partners to understand and address their needs, and develop and present analytics results and solutions to internal and external constituents. They will also interact with data engineering partners in product development and utilize strong programming skills to explore and interpret large volumes of data.
Comprehensive pharmacy and healthcare services
CVS Health operates a large network of retail pharmacies and walk-in medical clinics across the United States, providing a variety of health-related products and services. Their offerings include prescription medications, over-the-counter health products, and beauty items, as well as pharmacy benefits management and specialty pharmacy services. CVS Health's integrated business model allows them to serve individual consumers, businesses, and communities effectively, with a focus on improving health outcomes and reducing healthcare costs. Unlike many competitors, CVS Health combines pharmacy services with medical care, making it easier for patients to access quality healthcare. The company's goal is to enhance access to healthcare and support individuals in achieving better health.