Lead Data Scientist

Key Responsibilities

• Lead the design, development, and deployment of advanced machine learning, forecasting, optimization, and generative AI solutions for financial planning.
• Partner with Finance leadership to translate financial questions into rigorous data science problems.
• Build machine learning systems from the ground up and design scalable data science infrastructure.
• Strategically select the appropriate modeling approach (traditional ML, forecasting, optimization, or GenAI) and design experiments to evaluate them.
• Deliver cutting-edge expertise in forecasting, anomaly detection, and optimization.
• Transform model outputs into actionable, executive-ready business recommendations.
• Champion long-term strategic projects to improve financial planning and operations.
• Collaborate with engineering and product teams to deploy models into production with scalability and performance.
• Mentor data scientists and elevate the technical bar across the team.
• Invent bold solutions to current and future business problems.

Requirements

• Experience & Education: 8+ years of experience as a data scientist developing predictive business models; at least 5 years of experience in time series forecasting, anomaly detection, and/or optimization; MS/Ph.D in Data Science, Statistics, Applied Mathematics, Engineering, or a similar quantitative discipline.
• Technical Skills: Core Stack: Strong proficiency in SQL and Python; deep expertise in PyTorch, Transformers, scikit-learn, XGBoost/LightGBM, scipy, and statsmodels; Forecasting & Optimization: Proven experience building and deploying forecasting and resource-constrained optimization models in production; Generative AI & Agents: Experience applying GenAI to business problems, building Agentic Workflows, and implementing RAG architectures; Statistical Rigor: Strong foundation in hypothesis testing, experimental design, and causal inference; Cloud Infrastructure: Hands-on experience with cloud platforms, specifically Microsoft Azure (Azure AI Studio, Foundry).
• Soft Skills: Excellent communication skills for translating technical concepts to finance and executive stakeholders; proactive, collaborative mindset with a passion for practical business outcomes; Business acumen to combine model results with financial understanding.

Compensation & Benefits

Salary Range: $185,300 USD - $247,800 USD (Base Salary for US based candidates)

Note: Total compensation includes annual bonus, equity, and benefits. Actual range may vary based on location.

Benefits Package

• Work Flexibility: Flextime, ample learning opportunities, comprehensive onboarding, and leadership training.
• Health & Wellness: Company-paid medical, dental, and vision (100% employer paid options); FSA/HSA; 401k match; telehealth and One Medical membership.
• Lifestyle Support: Parental leave, up to $20k for fertility/adoption/surrogacy services, on-demand maternity support, pet insurance, legal advice, and financial planning tools.
• Recognition: Bonusly, peer-nominated awards, and events.

EEO Statement

ServiceTitan is committed to a diverse workforce and does not discriminate based on race, color, religion, sex, national origin, gender identity, age, disability, pregnancy, genetic information, military status, sexual orientation, or any other protected characteristic. We encourage applications from underrepresented groups.

Job Details

Location: Glendale, CA
Job Type: hybrid or office
Posted: May 9, 2026