Lead Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the design, development, and implementation of sophisticated machine learning, forecasting, optimization, and generative AI solutions that enhance financial planning, analysis, and decision-making processes.

• Collaborate closely with Finance leadership and other essential business stakeholders to convert financial inquiries into rigorous data science challenges.

• Construct machine learning systems from the ground up and create scalable data science infrastructure that Finance teams can depend on.

• Strategically assess the most suitable modeling approach (traditional ML, forecasting, optimization, or Generative AI) for each issue, and design experiments to evaluate alternative strategies.

• Provide cutting-edge expertise in forecasting, anomaly detection, and optimization, promoting best practices in financial modeling at ServiceTitan.

• Convert model outputs into actionable, executive-level business recommendations.

• Advocate for and implement long-term strategic projects that enhance the financial planning and operations of ServiceTitan.

• Work collaboratively with engineering and product teams to deploy models into production seamlessly, ensuring scalability and performance.

• Mentor team data scientists and raise the technical standards across forecasting, optimization, and GenAI initiatives.

• Develop innovative and creative solutions to current and future business challenges.

⛳️ Requirements

• 8+ years of experience as a data scientist creating predictive business models, with a minimum of 5 years focused on time series forecasting, anomaly detection, and/or optimization.

• Established history of delivering impactful, production-grade solutions.

• MS/Ph.D. in Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field.

• Strong command of SQL and Python, with extensive knowledge of the data science ecosystem (e.g., PyTorch, Transformers, scikit-learn, XGBoost/LightGBM, scipy, statsmodels).

• Significant experience in building and deploying forecasting models and resource-constrained optimization models within production settings.

• Proven experience in applying Generative AI to real-world business challenges, including hands-on development and testing of GenAI solutions.

• Familiarity with building Agentic Workflows and implementing RAG architectures.

• Solid foundation in statistics, covering hypothesis testing, experimental design, and causal inference to guarantee the reliability of analytical insights and model impact assessments.

• Practical experience with cloud platforms, with a strong preference for Microsoft Azure (e.g., Azure AI Studio, Foundry).

• Capability to merge model outcomes with a strong business understanding to generate actionable recommendations, especially in financial or operational contexts.

• Excellent communication skills, with the ability to translate complex technical concepts into actionable insights for finance and executive stakeholders.

• A proactive and collaborative approach.

• A strong passion for discovery, problem-solving, and achieving practical business results in collaboration with finance and engineering leadership.

🏝️ Benefits

• Flexibility in work hours, recognition, and support for independent work: Flexible time off with numerous learning and development opportunities to further advance your career.

• Company-sponsored medical, dental, and vision coverage (with 100% employer-paid options and 90% coverage for dependents), FSA and HSA, 401k matching, and telehealth options, including memberships to One Medical.

• Parental leave and support, up to $20k for fertility services (i.e., IUI and IVF), surrogacy and adoption reimbursement, on-demand maternity support through Maven Maternity, complimentary breast milk shipping via Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.