Director, Data Science
Core
Lead data science and applied AI across operational efficiency and post-sales product experiences, building agentic systems and decision-support tools.
Role type
Director, Data Science (Player-coach leadership)
Builds
Agentic systems, forecasting models, lead scoring, voice of the customer aggregation, support agents, onboarding intelligence, and customer success automation.
Domain
B2B SaaS, Operations, Post-sales support
Deliverable
production ML models | product features
Required skills
LLMs and agentic systems, orchestration (tool use, MCP), retrieval, evaluation of non-deterministic AI, SQL, Python, cloud data warehouses, dbt, production AI deployment pipelines
Preferred skills
B2B SaaS, marketplaces, logistics, field operations, customer success, onboarding, support operations
Technologies
Claude Code, MCP, cloud warehouses, dbt
Responsibilities
Own the data science and applied AI roadmap for operations and post-sales; lead, hire, and develop a data science team; partner with executive leadership to frame high-leverage problems; drive full lifecycle from problem definition to production deployment and monitoring; establish metrics connecting work to operational and financial outcomes; champion an AI/agent-first way of working.
Seniority
Director, 8+ years experience, 5+ years leading teams