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Senior Data Scientist - Store Operations Analytics

CVS Health

🌍 Anywhere 🏠 Remote ⏱ Part-time 💼 Senior 🗓 2 days ago

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 deliv...

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