Senior Data Scientist - Store Operations Analytics
Role details
Job location
Tech stack
Job 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. 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., Job Description: Senior Data Scientist, 3M Company, Maplewood, Minnesota (hybrid): Invent and develop data science technologies that create new opportunities or support existing …
- 2 months ago
Requirements
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.
Benefits & conditions
Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $92,700.00 - $185,400.00 This 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. This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on . We anticipate the application window for this opening will close on: 05/24/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
