Sr Data Scientist - AI Engineer
About the role
The Data Science organization is advancing merchandising decision-making through production-grade Agentic AI, MLOps, and AIOps capabilities. This Sr. Data Scientist is responsible for establishing foundational operational frameworks (MLOps, LLMOps, AIOps) and building agentic solutions that reason over enterprise data and orchestrate core data science models into production workflows. The role brings together data science, foundational models, retrieval systems, and reusable AI services to create reliable, governed, and scalable solutions that drive business impact. Embedded within the data science team, the Sr. Data Scientist applies software engineering discipline, operational rigor, and Agentic AI expertise, partnering closely with software engineers and business stakeholders to move solutions from experimentation to production — automating model and agent lifecycles, embedding observability and governance, and orchestrating tools, APIs, and retrieval systems for enterprise decision intelligence.
Responsibilities
- Solution Development (35%): Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation.
- Project Management & Team Support (30%): Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team.
- Business Collaboration (20%): Le