Sr Director, Data Science and Analytics

Socket.dev; Virginia (MN); Hybrid; USD 320,000 - 479,000; Full time

Benefits offered by this job

Flexible time off

Company-paid health benefits (medical,

Parental leave & fertility support

Job summary

ServiceTitan seeks a Director of Data Science for Operations to lead data science and applied AI across its operational core and finance analytics. You will partner with operations and finance leadership to turn complex data into intelligent systems, decisions, and measurable impact—spanning internal efficiency and business analytics.

This player-coach role combines hands-on delivery with setting technical direction, focusing on high-ROI projects and scalable AI capabilities across the

Qualifications

• 8+ 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.
• Foundations in statistics and ML, plus depth in modern AI: LLMs, agentic systems, orchestration, retrieval.
• Fluency in SQL and Python; familiarity with cloud warehouses, dbt, LLM deployment pipelines.
• Proven ability to partner with non-technical executives and translate ambiguous problems into tractable work.
• Comfort operating in a fast-moving, data-rich environment with real cost consequences.

Responsibilities

• Own the data science and applied AI roadmap for G&A—agentic systems, forecasting, lead scoring, and decision-support.
• Lead, hire, and develop a data science and analytics team; set standards for rigor and production quality.
• Partner with operations and product leadership to identify high-leverage problems and translate them into operational decisions and shipped AI capabilities.
• Responsible for our finance analytics team supporting accounting, FP&A, and pricing.
• Collaborate with data engineering, ML engineering, and platform teams on infrastructure, data quality, and guardrails.
• Communicate findings to executive stakeholders balancing technical depth with business clarity.
• Champion an AI/agent-first mindset and invent agentic systems to speed up the team.

Skills

Data science leadership

SQL

Python

LLMs

Agentic AI

Stakeholder partnering

Forecasting

Tools

Claude Code

Job description

About the Role

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 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

• 8+ 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. 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.

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 isZone 1: $319,600 USD - $479,400 USD Applicable for: CA, CT, DC, MD, MA, NJ, NY, VA, and WAZone 2: $298,700 USD - $448,100 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.