Dynamic Retail Pricing Analytics Solutions
Our team is dedicated to delivering high-impact analytics solutions that drive revenue and customer satisfaction in the front store business. We utilize advanced analytic approaches to optimize merchandising and pricing decisions, ensuring seamless and personalized experiences for our customers.
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* Key Responsibilities:
* Develop and deploy data science solutions for optimal retail pricing using cloud-based platforms
* Solve complex problems and deliver decision support tools to improve customer experience
* Collaborate with cross-functional teams to gather requirements and define project scope
* Architect scalable and efficient data pipelines to ingest, transform, and analyze large volumes of structured and unstructured data
* Ensure compliance with best practices, security standards, and data governance policies throughout the development lifecycle
* Provide technical guidance, mentorship, and support to junior developers and team members
* Proactively identify opportunities for process improvements and optimization within the Palantir Foundry ecosystem
Required Skills and Qualifications
* 2+ years of software development experience building and delivering customer-facing cloud-based analytic solutions
* End-to-end application development experience on Palantir Foundry or similar systems, leveraging tools such as Workshop, Code Repositories, Pipeline Builder, Ontology objects/actions, and TypeScript functions
* 2+ years of collaboration with cross-functional teams, including data analysts, engineers, and business stakeholders to gather requirements and define project scope
* 2+ years of coding experience in Python/PySpark, SQL, and LLM modeling
* 2+ years of experience working with cloud-based platforms such as Azure, GCP, and AWS
Benefits
As a member of our team, you will have the opportunity to work on innovative projects that drive business growth and customer satisfaction. You will also have access to cutting-edge technologies and tools, as well as opportunities for professional development and growth.
Others
We are looking for talented individuals who have a strong sense of ownership, accountability, and a desire to deliver high-quality end-to-end intuitive and impactful analytic products using advanced data-driven approaches.