Sr Manager, Data Science

About the Role

Leads a data science team to develop insights from data in order to investigate complex business problems through a range of data preparation, modeling, analysis, and visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness, and economic forecasting.

Responsibilities

• 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 the 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.

Requirements

• 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.
• 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.
  • Machine Learning or NLP (Scikit-Learn, SpaCy, PyTorch, or Spark NLP).
• At least one (1) year of experience in each of the following:
  • Team supervision, including assessing employees' performance, providing feedback, and training to improve work quality.
  • Development of quality assurance standards to ensure compliance meets industry standards.
  • Providing analysis and proposals for improvements to existing methods, systems, and procedures such as operations, communications, and report management.

Hybrid position: remote work permitted but must live within commuting distance of designated office location and remain available to report to the office as needed and required.

Pay

Pay Range: $140,650.00/year to $260,590.00/year. This pay range represents the base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography, and other relevant factors. This position is also eligible for a CVS Health bonus, commission, or short-term incentive program in addition to the base pay range, as well as an award target in the company’s equity award program.

Benefits

• Full range of medical, dental, and vision benefits.
• 401(k) retirement savings plan and Employee Stock Purchase Plan.
• Fully-paid term life insurance plan.
• Short-term and long-term disability benefits.
• Wellness programs, education assistance, and free development courses.
• CVS store discount and discount programs with participating partners.
• Paid Time Off (PTO) or vacation pay, as well as paid holidays throughout the calendar year.