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Über
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. 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. MS/Ph.D in Data Science, Statistics, Applied Mathematics, Engineering, or similar quantitative discipline. Strong proficiency in SQL and Python, with deep expertise in the data science ecosystem (e.g., PyTorch, Transformers, scikit-learn, XGBoost/LightGBM, scipy, statsmodels). 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. Strong foundation in statistics, including hypothesis testing, experimental design, and causal inference to ensure the reliability of analytical insights and model impact evaluation. Hands-on experience with cloud platforms, with a strong preference for Microsoft Azure (e.g., Azure AI Studio, Foundry). Ability to combine model results with clear business understanding to create actionable recommendations, particularly in financial or operational contexts. 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. Benefits:
Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. 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. Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.
Sprachkenntnisse
- English
Hinweis für Nutzer
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