Stord is looking for a Staff Data Scientist, a senior individual contributor to anchor data science efforts on the most difficult and highest-impact problems at Stord. You'll drive ML and MLOps technology strategy and embed with engineering teams to ship production models across our supply chain, fulfillment, and consumer-facing platforms.
This is a dual-scope Staff role: part Architect, you'll define the data science and ML ops standards, tooling, and infrastructure the whole organization builds on, and part embedded Solver, you'll personally own and ship the highest-complexity modeling problems end to end. There are no direct reports. Your impact comes from technical depth and cross-team influence, at a scope and level of trust equivalent to Stord's senior leadership track.
Stord's primary cloud and AI stack is Google Cloud Platform and Claude (Anthropic). You'll help shape how agentic AI gets built into the org's data and ML infrastructure, not just as a personal productivity tool, but as part of the standards and tooling you're already responsible for defining.
Key Responsibilities
Own complex modeling problems end-to-end, from framing through production deployment
Conduct exploratory data analysis and build predictive models for supply chain, logistics, and consumer applications
Define data science and MLOps standards, tooling, and infrastructure across the organization
Embed with engineering teams to integrate models into production systems
Lead technical strategy conversations with engineering and product leadership
Help shape how agentic AI and AI-augmented workflows (governed semantic layers, agent-assisted model development, AI-augmented MLOps) are incorporated into Stord's data infrastructure
Required Qualifications
Technical Depth
Expert-level Python with production code experience
Strong SQL/Spark (Postgres, BigQuery)
Statistical analysis and machine learning fundamentals, including causal inference and recommendation systems
Production model deployment, monitoring, and retraining experience
MLOps practices: model versioning, pipeline orchestration, drift detection
Google Cloud Platform (BigQuery, Vertex AI, GKE/Kubernetes, Cloud Run), Stord's primary cloud and data stack
Experience with or strong interest in agentic AI tooling for data science and ML ops, Stord's AI platform is Claude, and you'll help shape how agentic workflows get built into the org's data infrastructure
Git/GitHub and collaborative engineering workflows
Working Style
Technical credibility and deep expertise in at least one hard technical domain
Clear communication of complex concepts to engineering and business leadership
Pragmatism and solution-focused delivery
Self-direction in ambiguous, individual-contributor-track situations, this role has no direct reports; impact comes from technical depth and cross-team influence
Preferred Qualifications
Logistics, supply chain, or e-commerce background
Recommendation systems or customer profile modeling at scale
Real-time model serving and high-availability ML systems
Elixir, TypeScript, or functional programming experience
Kubernetes, CI/CD, and DataOps tooling familiarity
