Lead Data Scientist

Ready to be a Titan?

As the Lead Data Scientist on our Operations data science team supporting the Finance organization, you will use machine learning, generative AI, and data-driven insights to drive financial planning, optimize spend, and inform strategic decision-making across ServiceTitan. Your work will directly impact some of ServiceTitan's most critical financial decisions and help shape how the company forecasts, plans, and allocates resources at scale.

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

What you'll do:

• Lead the design, development, and deployment of advanced machine learning, forecasting, optimization, and generative AI solutions that power financial planning, analysis, and decision-making

• Partner closely with Finance leadership and other key business stakeholders to translate financial questions into rigorous data science problems

• Build machine learning systems from the ground up and design scalable data science infrastructure that Finance teams can rely on

• Strategically determine the most appropriate modeling approach (traditional ML, forecasting, optimization, or Generative AI) for each problem, and design experiments to evaluate competing approaches

• Deliver cutting-edge forecasting, anomaly detection, and optimization expertise, driving best practices across financial modeling at ServiceTitan

• Transform model outputs into actionable, executive-ready business recommendations

• Champion and execute long-term strategic projects that improve how ServiceTitan plans and operates financially

• Collaborate closely with engineering and product teams to seamlessly deploy models into production, ensuring scalability and performance

• Mentor data scientists on the team and elevate the technical bar across forecasting, optimization, and GenAI work

• Invent bold and creative solutions to current and future business problems

What you’ll bring:

• Experience: 8+ years as a data scientist developing predictive business models, with at least 5 years of experience in time series forecasting, anomaly detection, and/or optimization. Proven track record of delivering impactful, production-grade solutions.

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

• Core Technical Stack: Strong proficiency in SQL and Python, with deep expertise in the data science ecosystem (e.g., PyTorch, Transformers, scikit-learn, XGBoost/LightGBM, scipy, statsmodels).

• Forecasting & Optimization: Deep experience building and deploying forecasting models and resource-constrained optimization models in production environments.

• Generative AI & Agents:

• Demonstrated experience applying Generative AI to real business problems, including practical experience developing and testing GenAI solutions

• Experience building Agentic Workflows and implementing RAG architectures

• Statistical Rigor: Strong foundation in statistics, including hypothesis testing, experimental design, and causal inference to ensure the reliability of analytical insights and model impact evaluation.

• Cloud Infrastructure: Hands-on experience with cloud platforms, with a strong preference for Microsoft Azure (e.g., Azure AI Studio, Foundry).

• Business Acumen: Ability to combine model results with clear business understanding to create actionable recommendations, particularly in financial or operational contexts.

• Soft Skills: Excellent communication skills, including translating complex technical concepts into actionable insights for finance and executive stakeholders. Proactive and collaborative mindset.

• Passion for discovery, problem solving, and practical business outcomes in partnership with finance and engineering leadership.

Preferred experience: 

• Experience supporting Finance, FP&A, or related functions with data science solutions

• Experience building and deploying MCPs

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 automate