[Hiring] Senior Data Scientist - Store Operations Analytics @CVS Health

Role Description

The Senior Data Scientist will support pharmacist and technician staffing analytics by owning analytical workflows, driving ongoing metric updates, and delivering ad‑hoc insights tied to a widely used composite staffing metric. This role is part of a data science team focused on enabling workforce planning decisions through rigorous analytics, forecasting, and performance measurement.

• Maintain and enhance analytical logic behind staffing metrics.
• Ensure data quality and consistency.
• Respond to evolving business questions through ad‑hoc analysis.
• Support forecasting efforts that inform staffing plans, labor optimization, and operational readiness.
• Partner closely with TA, operations, workforce planning, and finance stakeholders to ensure outputs are actionable, trusted, and aligned with business needs.

Qualifications

• 3+ years of professional experience in a data science role (time series modeling required).
• Experience supporting staffing, labor, workforce, or operational analytics in a business environment.
• Proficiency in Python for data analysis, metric development, and automation.
• Strong experience querying and manipulating large datasets using SQL.
• Hands‑on experience maintaining, enhancing, or operationalizing business‑critical metrics or analytical products.
• Experience performing ad‑hoc analysis to support operational or leadership decision‑making.
• Experience collaborating with cross‑functional partners to deliver analytical insights.

Requirements

• Strong analytical and problem‑solving skills, with the ability to translate operational challenges into data‑driven insights.
• Ability to clearly communicate analytical results, assumptions, and limitations to non‑technical stakeholders.
• Experience with staffing models, labor forecasting, capacity planning, or workforce optimization.
• Familiarity with forecasting techniques applied to operational or labor drivers.
• Experience contributing to documentation, metric definitions, or standardized analytical processes.
• Comfort operating in fast‑moving environments with evolving priorities and frequent stakeholder requests.

Education

• Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or a related discipline.
• Master’s degree preferred.

Benefits

• Comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families.
• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources, based on eligibility.