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ServiceTitan

Cloud-based field service management for trades

Senior Director - Data Science and Analytics

Data ScienceConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 10 years of experience in data science or applied artificial intelligence and machine learning, including at least 5 years leading and growing teams.
  • Strong background managing analytics teams.
  • Demonstrated track record of influencing internal operational decisions based on machine-learning systems, such as forecasts and lead scores.
  • Strong foundation in statistics and machine learning, plus depth in modern artificial intelligence, including large language models, agentic systems, orchestration (such as tool use and Model Context Protocol), retrieval, and the evaluation practices these require.
  • Proven expertise in analytics and driving decisions through deep analysis.
  • Fluency in SQL and Python; familiarity with modern data and artificial intelligence stacks, including cloud warehouses, dbt, and large-language-model or agent deployment pipelines.
  • Ability to partner with non-technical executives and translate ambiguous business problems into tractable work.
  • Comfort operating in a fast-moving, data-rich environment where decisions carry operational and cost consequences.

Responsibilities

  • Own the data science and applied artificial intelligence roadmap for G&A, including agentic systems, forecasting, lead scoring, and decision support to improve throughput, reliability, and unit economics; build agents and AI workflows that act as well as predict.
  • Lead, hire, and develop a data science and analytics team executing operational and product-facing work; set standards for technical rigor, evaluation, and production quality.
  • Partner with operations and product leadership to identify high-leverage problems, frame them, and translate them into operational decisions and shipped AI capabilities.
  • Be responsible for the finance analytics team supporting accounting, FP&A, and pricing.
  • Collaborate with data engineering, machine-learning engineering, and platform teams on the infrastructure, data quality, orchestration, tooling, and guardrails that these systems depend on.
  • Communicate findings and recommendations to executive stakeholders, balancing technical depth with business clarity.
  • Champion an AI- and agent-first way of working within the team, both as a hands-on technical leader using tools such as Claude Code and by inventing agentic systems that make the team faster.

Desired Qualifications

  • Background in B2B SaaS, marketplaces, logistics, or field operations.

About the Company

ServiceTitan

Cloud-based field service management for trades

ServiceTitan provides a cloud-based, all-in-one software platform for home and commercial trades businesses. It combines CRM, scheduling/dispatch, invoicing, payroll, marketing, inventory, and reporting in a single SaaS, with a mobile app for field technicians and Titan Intelligence for automation and data insights, plus integrated payment processing. It differentiates itself by focusing on trades, unifying front- and back-office workflows in one system, and growing through acquisitions and strong funding. Its goal is to help trades companies operate more efficiently, grow revenue, and make smarter, data-driven decisions.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Glendale, CA
Founded
2012

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