Staff Data Scientist

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

Technical Depth

Working Style

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

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