Servicetitan
Lead Data Scientist
US Remote
Sponsorship not specifiedDetected 32 days ago
PythonSQLAzureCloud PlatformsMachine LearningPyTorchscikit-learnData ScienceNLPLLMsRAGStatisticsA/B TestingFinancial ModelingForecastingFP&ARecruitingOnboardingExperimental DesignLeadershipCommunicationProblem Solving
About the role
- 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.
- Proactive and collaborative mindset. - Passion for discovery, problem solving, and practical business outcomes in partnership with finance and engineering leadership.
Responsibilities
- Partner closely with Finance leadership and other key business stakeholders to translate financial questions into rigorous data science problems
- 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
- Collaborate closely with engineering and product teams to seamlessly deploy models into production, ensuring scalability and performance
- Forecasting & Optimization: Deep experience building and deploying forecasting models and resource-constrained optimization models in production environments.
- 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.
- Business Acumen: Ability to combine model results with clear business understanding to create actionable recommendations, particularly in financial or operational contexts.
- Here's how we'll support you in doing some of the most impactful work of your career:
Requirements
- 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.
- Strong proficiency in SQL and Python, with deep expertise in the data science ecosystem (e.g., PyTorch, Transformers, scikit-learn, XGBoost/LightGBM, scipy, statsmodels).
- Hands-on experience with cloud platforms, with a strong preference for Microsoft Azure (e.g., Azure AI Studio, Foundry).
- So, if you have the skills but are hesitant to apply because of your background, apply anyway.
- 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).
- Cloud Infrastructure: Hands-on experience with cloud platforms, with a strong preference for Microsoft Azure (e.g., Azure AI Studio, Foundry).
Skills
- Passion for discovery, problem solving, and practical business outcomes in partnership with finance and engineering leadership.
- Proactive and collaborative mindset.
- 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.
- Come be human, with us.
- Use of AI Technology:
- AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
- Holistic health and wellness
Compensation
- $198,200 USD - $297,400
- $185,300 USD - $277,900
Benefits
- Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career.
- In addition to base salary, our total compensation package includes an annual bonus, equity, and a holistic suite of benefits.
- Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
Company info
- We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events.
- At ServiceTitan, we celebrate individuality and uniqueness.
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This listing is sourced directly from Servicetitan's careers page and normalized into a canonical job model.