Senior Data Scientist

Ready to be a Titan? ServiceTitan is looking for a Senior Data Scientist to join our team and play a pivotal role in optimizing our customer onboarding process. You'll leverage your expertise in machine learning and generative AI to identify inefficiencies, develop innovative solutions, and ultimately enhance the speed and quality of our customer transitions. If you're a proactive problem-solver with a passion for staying at the forefront of data science and a knack for deploying impactful solutions, we want to hear from you. What you'll do: Lead the design, development, and deployment of advanced machine learning and generative AI models aimed at improving the efficiency and effectiveness of customer onboarding. Apply a strong understanding of machine learning fundamentals, various frameworks, and model selection to solve complex business problems. Stay up-to-date with the latest advancements in data science and AI, actively exploring and integrating cutting-edge techniques into our solutions. Utilize your robust statistical knowledge to inform model development, interpret results, and ensure the reliability of our analytical insights. Demonstrate exceptional and creative problem-solving skills to tackle unique challenges within the ServiceTitan customer journey. Design, implement, and rigorously test Generative AI and ML solutions, evaluating their performance and impact. Strategically determine the most appropriate modeling approach (traditional ML vs. Generative AI) for specific problems, and effectively design tests to evaluate multiple approaches. Collaborate closely with engineering and product teams to seamlessly deploy models into production environments, ensuring scalability and performance. Leverage cloud computing services, preferably Azure, to build and maintain robust data science infrastructure and pipelines. What you'll bring: Experience: 5+ years in a data science role with a proven track record of delivering impactful, production-grade solutions. Core Technical Stack: Proficiency in SQL and Python , with deep expertise in the data science ecosystem (e.g., PyTorch, Transformers, scikit-learn, and XGBoost/LightGBM). Generative AI & Agents: Demonstrated experience with Generative AI concepts, including practical application in developing and testing GenAI solutions. Experience building Agentic Workflows and implementing RAG architectures. Any experience building and deploying MCPs is a bonus, but not required. LLM Ops & Evaluation: Familiarity with MLOps best practices and deploying models into production. Expertise in LLM evaluation frameworks (e.g., RAGAS, DeepEval) and implementing guardrails for reliable customer-facing outputs. Statistical Rigor: Strong foundation in statistics, including hypothesis testing, experimental design, and causal inference to ensure the reliability of analytical insights. Cloud Infrastructure: Hands-on experience with cloud platforms, with a strong preference for Microsoft Azure (e.g., Azure AI Studio, Foundry). Soft Skills: Excellent communication skills to translate complex technical concepts into actionable insights , paired with a proactive and collaborative mindset. Bonus Skills: Familiarity with coding in C# and .NET to better integrate with ServiceTitan’s core engineering environment. Why ServiceTitan? ServiceTitan is a leading software company for the trades, and we're on a mission to help home and commercial service businesses thrive. We offer a dynamic and supportive work environment where you can make a real impact. You'll be part of a team that values innovation, continuous learning, and pushing the boundaries of what's possible with data science. Be Human With Us: Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and thi ... (truncated, view full listing at source)