Okay, I've searched for full-time Data Scientist positions in New York, NY, specializing in clinical analytics, requiring at least 2 years of experience with Python and cloud platforms, and including tuition assistance benefits. I have found 87 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Data Scientist role within CVS Health’s Aetna Clinical Analytics team centers on leveraging advanced analytics and machine learning to improve healthcare outcomes through data-driven insights. The core mission is to develop predictive models and analytic tools that identify care opportunities and optimize clinical program performance, supporting more effective care management. This position requires a balance between strong technical expertise—especially in SQL, Python, cloud platforms (GCP, AWS, Azure), and machine learning—and the ability to translate complex analytical findings into actionable business insights for clinical and operational stakeholders. Given the healthcare context, understanding clinical concepts and healthcare data intricacies is crucial for meaningful model development and validation. Collaboration is a key aspect, as the scientist must work closely across teams, including IT, other data scientists, and business leaders, to ensure solutions are relevant and implemented effectively. The role expects the candidate to manage large, complex datasets, handle structured and unstructured data, and create data pipelines, which indicates a need for both robustness in data engineering skills and creativity in analytical approaches. Success in this role means delivering models and reports that tangibly improve care management and patient outcomes, demonstrating measurable impact on program performance while navigating typical challenges of data quality, regulatory compliance, and cross-functional coordination.

Company Analysis:

CVS Health is a leading health solutions company that combines a broad reach with deep integration of services across physical and digital health landscapes. Positioned as a trusted, mission-driven organization, CVS operates at the intersection of healthcare, retail, and technology, emphasizing accessibility, affordability, and compassionate care. The company culture likely blends innovation with a strong service orientation, focusing on improved health outcomes for millions of Americans through collaborative, multidisciplinary teams. For a data scientist in clinical analytics, this means working in an environment that values both cutting-edge data science and practical, mission-aligned impact. The role’s placement within Aetna’s analytics team suggests a dynamic environment that requires navigating complex healthcare regulations and fast-evolving clinical program needs. With over 300,000 colleagues and a culture centered on inclusion and holistic employee wellbeing, candidates should anticipate working in a large, matrixed organization where cross-functional collaboration, communication skills, and adaptability are prized. Strategically, this role feeds directly into CVS Health’s broader goal of transforming healthcare delivery through data, making it a critical position for driving innovation in care management and enabling the company’s commitment to personalized, effective, and compassionate health solutions.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to communicate complex data science findings to a non-technical audience. How did you ensure your message was clear and actionable?
• Behavioral: Describe a situation where you encountered poor quality or incomplete data. How did you address this challenge in your analysis?
• Behavioral: Give an example of how you worked cross-functionally on a project involving multiple stakeholders. What approaches did you take to align different priorities?
• Behavioral: Share an experience when you identified a clinical or business opportunity through data analysis that significantly impacted decision-making.
• Technical: Walk me through your process for developing a predictive model in a healthcare context. What factors do you consider, and how do you validate your model?
• Technical: How do you approach building data pipelines for large-scale structured and unstructured healthcare datasets?
• Technical: Explain your experience with cloud platforms like GCP, AWS, or Azure in deploying machine learning solutions. What challenges have you encountered?
• Technical: Describe your experience using SQL and Python together to analyze complex datasets. Provide an example related to healthcare or clinical data if possible.
• Situational: Imagine you discover conflicting results in two different predictive models intended to support clinical care prioritization. How would you investigate and resolve this?
• Situational: Suppose a business partner challenges the applicability of a machine learning algorithm you developed. How would you handle their concerns?
• Situational: If you had to deliver a visual analytic report to senior leadership with tight deadlines but incomplete data, what steps would you take?
• Company Fit: Why are you interested in working at CVS Health and specifically within Aetna’s Clinical Analytics team?
• Company Fit: How do your personal values and professional goals align with CVS Health’s commitment to compassionate, accessible healthcare?
• Company Fit: Given CVS Health’s emphasis on collaboration and innovation, how would you contribute to fostering these values in your role?
• Questions for Interviewer: What are the biggest challenges Aetna’s Clinical Analytics team is currently facing, and how could this role make an immediate impact?
• Questions for Interviewer: How does CVS Health support ongoing learning and career growth for data scientists working in clinical analytics?
• Questions for Interviewer: Can you describe how this role collaborates with other groups like IT, clinical teams, and business leadership to implement analytic solutions?