Lead Data Scientist
Core
Lead the design, development, and deployment of advanced machine learning, forecasting, optimization, and generative AI solutions to power financial planning, analysis, and decision-making for ServiceTitan's Finance organization.
Role type
Lead Data Scientist (Finance Operations)
Builds
Production-grade ML systems, forecasting models, optimization engines, and GenAI agents for financial planning and resource allocation.
Domain
Financial Services / Operations / Generative AI
Deliverable
production ML models
Required skills
Time series forecasting, anomaly detection, resource-constrained optimization, Generative AI, Agentic Workflows, RAG architectures, statistical hypothesis testing, causal inference, SQL, Python, PyTorch, Transformers, scikit-learn, XGBoost, LightGBM, Microsoft Azure
Preferred skills
FP&A support experience, MCPs experience
Responsibilities
Design and deploy ML/GenAI solutions for financial planning; Partner with Finance leadership to translate business questions into data science problems; Build scalable data science infrastructure; Strategically select modeling approaches and design experiments; Transform model outputs into executive-ready recommendations; Mentor data scientists on forecasting and GenAI; Collaborate with engineering for production deployment.
Seniority
Senior, hands-on IC with mentorship responsibilities
