[Hiring] Director, Data Science @ServiceTitan

Role Description

We're seeking a Director of Data Science for Operations to lead data science and applied AI across two connected domains: our operational core and the post-sales product experience. You'll partner with operations, finance, product, and engineering leadership to turn complex data into intelligent systems, decisions, and measurable impact.

• Own the data science and applied AI roadmap for operations—agentic systems, forecasting, lead scoring, voice of the customer aggregation, and decision-support that improve throughput, reliability, and unit economics.
• Build agents and AI workflows that don't just predict but act.
• Own the data science and AI behind post-sales product experiences, including the support agent, onboarding intelligence, and customer success automation.
• Lead, hire, and develop a data science team executing on operational and product-facing work; set standards for technical rigor, evaluation, and production quality.
• Partner with operations, finance, and product leadership to identify high-leverage problems, frame them, and translate them into operational decisions and shipped AI capabilities.
• Drive the full lifecycle from problem definition through deployment and monitoring, ensuring systems hold up in production.
• Establish metrics and evaluation frameworks connecting this work to operational, financial, and customer outcomes.
• Collaborate with data engineering, machine learning engineering, platform, and product teams on the infrastructure, data quality, orchestration, tooling, and guardrails these systems depend on.
• Communicate findings and recommendations to executive stakeholders, balancing technical depth with business clarity.
• Champion an AI/agent-first way of working within the team.

Qualifications

• 8+ years in data science or applied AI/ML, with 5+ years leading and growing teams.
• Demonstrated track record deploying systems that delivered measurable impact.
• Strong foundation in statistics and ML, plus depth in modern AI: LLMs, agentic systems, orchestration, retrieval, and evaluation practices.
• Experience building or owning production AI systems—agents, conversational systems, or autonomous workflows.
• Fluency in SQL and Python; familiarity with modern data and AI stacks.
• Proven ability to partner with non-technical executives and translate ambiguous business problems into tractable work.
• Comfort operating in a fast-moving, data-rich environment.

Nice to Have

• Background in B2B SaaS, marketplaces, logistics, or field operations.
• Familiarity with customer success, onboarding, or support operations as a domain.

Benefits

• Flextime, recognition, and support for autonomous work.
• Flexible time off with ample learning and development opportunities.
• Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents).
• Parental leave and support, up to $20k in fertility services, surrogacy, and adoption reimbursement.
• Holistic health and wellness benefits including FSA and HSA, 401k match, and telehealth options.