Senior Data Science Engineer, Data Science & Analytics (DSA)

We are looking for an experienced Data Scientist to join the Data Science & Analytics team, owning production-grade data pipelines from ideation through delivery. This is an engineering-forward DS role — you'll partner closely with Product Management, Engineering, and Commercial teams to ship reliable, user-facing features that surface insights from our retail data at scale.

Requirements

• Own production pipelines end-to-end — design, build, and maintain robust data science pipelines that run reliably in production, including monitoring, alerting, and iterative improvement
• Scope and deliver features — take ambiguous problems, define clear analytical approaches, and ship client-facing solutions in collaboration with Engineering and Product Management
• Drive cross-functional delivery — proactively identify blockers, align stakeholders across teams, and move projects forward with minimal oversight
• Apply AI tooling to accelerate work — leverage LLMs, agents, and other AI-assisted workflows to increase the speed and quality of analysis and development
• Translate retail data into decisions — connect store-level signals (inventory, on-shelf availability, task execution, etc.) to meaningful business outcomes for both internal teams and retail clients
• Raise analytical standards — establish best practices for reproducibility, documentation, and code quality across the team's DS work
• Build conversational data experiences — design and prototype AI agent or chatbot interfaces that allow internal or external users to query and explore retail data through natural language (nice to have)

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Work Arrangements