Lead Data Scientist, Infrastructure Optimization

Ready to be a Titan?

As a member of the Operations data science team supporting our infrastructure cost efficiency team, you will use machine learning and data-driven insights to reduce cost, support infrastructure planning, and deliver delightful experiences to our customers. Your work will directly impact one of ServiceTitan’s largest expense items and help ensure uptime of the entire application. 

This is a rare opportunity to blend machine learning with strategic thinking at a fast growing firm in a way that will be visible to top executives within ServiceTitan. 

What you'll do:

• Partner with key business stakeholders at ServiceTitan 

• Build machine learning systems from the ground up and design scalable data science systems

• Deliver cutting edge forecasting and optimization expertise, driving best practices across all infrastructure spending at ST

• Transform insights gained from data into actionable business recommendations

• Champion and execute long-term strategic projects that grow ServiceTitan’s platform in the Home Service industry 

• Invent bold and creative solutions that aim to solve our current and future business problems

What you’ll need:

• MS/Ph.D in Data Science, Statistics, Applied Mathematics, Engineering, or similar quantitative discipline required 

• 8+ years experience as a data scientist developing predictive business models with at least 5 years of experience in time series forecasting, anomaly detection, and/or optimization

• Strong background using data science python packages like xgboost, scipy, pytorch, scikit-learn, statsmodels, skforecast, and H2O

• Experience building and deploying resource-constrained optimization models in production

• Strong understanding of what drives costs and optimization opportunities in cloud environments (e.g. reserved instances, compute utilization, etc.)

• Able to combine model results (e.g. forecasts/anomaly detection) with clear business understanding to create actionable business recommendations 

• Great communication skills including communicating complex concepts to business stakeholders 

• A passion for discovery, problem solving and practical business outcomes in partnership with engineering leadership

Preferred experience: 

• Experience with large language models (Claude, Llama, etc.)

• History of contributing to open source projects

• Peer reviewed publications in forecasting 

• Experience with Azure 

• Experience with bidding recommendation engines (e.g. optimizing spot pricing)

• Deep experience with Cloud Services Providers products, services and their pricing models.

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. 

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 for you and your dependents, RSP match, and 24/7 virtual healthcare. 

• Support for Titans at all stages of life: Parental leave and support, up to $20k in adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, 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.