Senior Data Scientist - Store Operations Analytics
CVSHealth
Operations, Data Science
Remote
USD 92,700-185,400 / year
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.
Position Summary
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.
The Senior Data Scientist will be responsible for maintaining and enhancing analytical logic behind staffing metrics, ensuring data quality and consistency, and responding to evolving business questions through ad‑hoc analysis. The role will also support forecasting efforts that inform staffing plans, labor optimization, and operational readiness. This position partners closely with TA, operations, workforce planning, and finance stakeholders to ensure outputs are actionable, trusted, and aligned with business needs.
Required 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
Preferred Qualifications
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.
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$92,700.00 - $185,400.00This pay range represents the base hourly rate or 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 eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.