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 β 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 β design, build, and maintain robust data science pipelines that run reliably in production, including monitoring, alerting, and iterative improvement
- Scope and deliver features β take ambiguous problems, define clear analytical approaches, and ship client-facing solutions in collaboration with Engineering and Product Management
- Drive cross-functional delivery β proactively identify blockers, align stakeholders across teams, and move projects forward with minimal oversight
- Apply AI tooling to accelerate work β leverage LLMs, agents, and other AI-assisted workflows to increase the speed and quality of analysis and development
- Translate retail data into decisions β 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 β establish best practices for reproducibility, documentation, and code quality across the team's DS work
- Build conversational data experiences β 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