Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Data Science & GenAI Tech Lead at Clarity overseeing production ML systems and AI agents. Collaborating with teams to design and ship impactful AI solutions for customer experience.
Responsibilities
- Build — design & ship Agentic AI for CX and structured extraction pipelines.
- Architect & scale systems for reliability and efficiency, engage in on-call duties.
- Collaborate with back‑end & front‑end teams on ML product integration.
- Align with product teams and document impacts of new capabilities.
Requirements
- 7–10 years building production ML/back‑end systems; 2+ years leading while coding.
- Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams).
- Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines.
- Hands‑on with time‑series analysis (forecasting, change‑point, drift).
- Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control.
- You explain results clearly, align stakeholders, and write crisp docs.
Benefits
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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