Lead Data Scientist

Job Description

Lead Data Scientist Job Description

Lead Data Scientist

Service Titan

Glendale, CA (Hybrid: On-site & Remote)

Full-time

The Lead Data Scientist will use machine learning, generative AI, and data-driven insights to drive financial planning, optimize spend, and inform strategic decision-making across the Finance organization. This role impacts critical financial decisions, helping shape how the company forecasts, plans, and allocates resources  offers a unique opportunity to blend GenAI with strategic financial thinking and collaborate with top executives.

• 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.

• 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.

• Core Stack:
  Strong proficiency in SQL and Python; deep expertise in PyTorch, Transformers, scikit‑learn, XGBoost/Light
  
  GBM, scipy, and stats models.
• 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).
• Preferred:
  Experience supporting Finance/FP&A functions and deploying MCPs.

• 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.

$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.

• 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.

Service Titan 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.