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Sr Director, Data Science and Analytics

ServiceTitan servicetitan.com Open
Remote United States Full-time Director Data Science

At a glance

Director-level Data Science role at ServiceTitan. Remote, United States · full-time.

In listing Data Science salary

RoleData Science
SeniorityDirector
LocationUnited States
WorkplaceRemote
EmploymentFull-time
PostedOct 30, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Set the G&A data science roadmap across agents, forecasting, lead scoring and decision tools that improve operations and unit economics
  • Build AI agents and workflows that take action, then deliver hands-on projects alongside setting technical direction
  • Hire and develop the data science and analytics team, establishing standards for rigor, evaluation and production quality
  • Work with operations and product leaders to turn high-value problems into decisions and deployed AI capabilities
  • Oversee finance analytics and coordinate with engineering teams on data quality, infrastructure, tooling and safeguards

What you bring

  • At least ten years in data science or applied AI/ML, including five or more years leading and growing teams
  • A strong record of managing analytics teams and using ML outputs such as forecasts or lead scores to influence operations
  • Deep grounding in statistics and machine learning, plus practical expertise in LLMs, agents, orchestration, retrieval and evaluation
  • Fluency in SQL and Python, with familiarity across modern data and AI platforms
  • Skill translating unclear business needs for nontechnical executives into defined work

Who this fits

This suits a senior, hands-on leader who can build and guide a team while delivering technical work. You’ll work across operational and finance analytics, partner with executive leaders, and guide systems with real business and cost effects. The role is remote within the United States.

From the employer

About the Role

We're seeking a Senior Director, Data Science and Analytics to lead data science, product intelligence and/or applied AI/ML across two connected domains: our operational core and finance analytics. You'll partner with operations and finance leadership to turn complex data into intelligent systems, decisions, and measurable impact—spanning internal operational efficiency and critical business analytics. This is a player-coach leadership role: you'll set technical direction, but also be hands on delivering projects.

This role has significant latitude to work on and invent new high ROI projects- the only limit is your creativity.


What You'll Do

  • Own the data science and applied AI roadmap for G&A—agentic systems, forecasting, lead scoring, and decision-support that improve throughput, reliability, and unit economics. Build agents and AI workflows that don't just predict but act.
  • Lead, hire, and develop a data science and analytics team executing on 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.
  • Responsible for our finance analytics team that supports all of finance - accounting, FP&A, and pricing.
  • Collaborate with data engineering, machine learning engineering, and platform 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—both as a hands-on technical leader (e.g., Claude Code) and by inventing agentic systems that make the team faster.

What You'll Bring

  • 10+ years in data science or applied AI/ML, with 5+ years leading and growing teams.
  • Strong background managing analytics teams
  • Demonstrated track record in influencing internal operational decisions based on ML systems (e.g. forecasts and lead scores).
  • Strong foundation in statistics and ML, plus depth in modern AI: LLMs, agentic systems, orchestration (e.g., tool use, MCP), retrieval, and the evaluation practices these require.
  • Proven expertise in analytics- driving decisions through deep analysis.
  • Fluency in SQL and Python; familiarity with modern data and AI stacks (cloud warehouses, dbt, LLM/agent deployment pipelines).
  • 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 where decisions carry real operational and cost consequences.

Nice to Have

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

Be Human With Us:
Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.


Use of AI Technology:

We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.


What We Offer:

When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:

  • Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
  • Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
  • Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.

At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation, which may change over time. We comply with all applicable minimum wage laws. For candidates in the United States, the good faith salary ranges estimate for this role is

Zone 1: $290,800 USD - $436,200 USD Applicable for: CA, CT, DC, MD, MA, NJ, NY, VA, and WA

Zone 2: $271,800 USD - $407,600 USD Applicable for: All other US locations.

International Compensation for candidates residing outside the United States will vary by location and will be discussed during the hiring process. Actual compensation within a range is determined by factors including relevant experience, skill set, qualifications, and performance. In addition to base salary, our total compensation package includes an annual bonus, equity, and a holistic suite of benefits.
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data ScienceRemote

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.