Job Overview
The Retail Consumer Analytics team is pioneering the transformation of front store consumer experience by collaborating with key business areas across CVS Health.
* Drive revenue and customer satisfaction in CVS Health's Front Store business using advanced analytics solutions.
* Solve complex problems and deliver decision support tools to enhance customer experience.
* Work closely with stakeholders to understand business needs and translate them into requirements for solution enhancements or ad hoc analyses.
We are seeking talented individuals who possess a strong sense of ownership, accountability, and a desire to deliver high-quality end-to-end intuitive analytic products using data-driven approaches.
Key Responsibilities:
1. Design, develop, and deploy data science solutions for optimal retail pricing at CVS stores.
2. Develop scalable and efficient data pipelines to ingest, transform, and analyze large volumes of structured and unstructured data within Palantir Foundry.
3. Provide technical guidance, mentorship, and support to junior developers and team members.
4. Proactively identify opportunities for process improvements and optimization within the Palantir Foundry ecosystem.