About the role

Senior Data Scientist at ServiceTitan optimizing customer onboarding processes through AI and machine learning. Leading deployment of advanced models and collaborating with engineering and product teams.

Responsibilities

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.

5+ years in a data science role with a proven track record of delivering impactful, production-grade solutions.
Proficiency in SQL and Python , with deep expertise in the data science ecosystem (e.g., PyTorch, Transformers, scikit-learn, and XGBoost/LightGBM).
Demonstrated experience with Generative AI concepts, including practical application in developing and testing GenAI solutions.
Experience building Agentic Workflows and implementing RAG architectures.
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.
Strong foundation in statistics, including hypothesis testing, experimental design, and causal inference to ensure the reliability of analytical insights.
Hands-on experience with cloud platforms, with a strong preference for Microsoft Azure (e.g., Azure AI Studio, Foundry).

Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career.
Great work is rewarded through Bonusly, peer-nominated awards, and more.
Holistic health and wellness benefits: Company-paid medical, dental, and vision for you and your dependents, RSP match, and an employee assistance program.
Support for Titans at all stages of life: Parental leave and support, up to $20k in adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, financial planning tools, and more.