Sr Manager, Data Science

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Summary: Leads data science team to develop insights from data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting. Duties include: Leads team to develop insights from data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting. Directs activities of data scientists, providing guidance, mentorship, and performance management to drive excellence in data science projects and deliverables. Defines data science strategies, methodologies, and best practices to solve complex healthcare challenges and drive innovation. Counsels the team in data exploration, analysis, and modeling techniques to derive actionable insights and inform healthcare decision-making processes. Directs activities of data science projects, including resource allocation, budget management, and timeline adherence, ensuring successful project execution. Analyzes organization to strategize and identify opportunities to leverage advanced analytics, machine learning, and artificial intelligence in healthcare applications. Advises senior leadership and stakeholders on data-driven strategies and solutions, providing insights and recommendations based on data analysis. Collaborates with multiple departments, including clinicians, researchers, and Information Technology (IT) professionals, to define project objectives, scope, and deliverables. Manages team performance through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation, and team development. Delivers a culture of learning and growth within the data science team, fostering collaboration, knowledge sharing, and professional development opportunities. Hybrid position: remote work permitted but must live within commuting distance of designated office location and remain available to report to office as needed and required.

Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and two (2) years of experience in the job offered or related occupation. Position requires two (2) years of experience in each of the following: Analyzing large data sets from multiple data sources; Analytics experience within the retail and/or healthcare industries; Machine learning, statistical analysis, and predictive modeling; Programming in R, Hadoop, or Python; R, Python, or SQL; SAS or SQL programming languages; Visualization tools, including PowerBI or Tableau; Coding in Python, R, SAS, Julia, Gurobi, or CPLEX; Designing data models and solutions for analytical and reporting use cases; and Machine Learning or NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP). Position requires at least one (1) year in each of the following: Team supervision, including assessing employees performance, providing feedback and training to improve work quality; Development of quality assurance standard to ensure compliance meets industry standards; and Provide analysis and proposals for improvements to existing methods, systems and procedures such as operations, communications & report management. Pay