Lead Data Science Analyst, GTM Strategic Analytics and Insights

ABOUT THE ROLE Klaviyo is seeking a highly skilled Lead Data Science Analyst to join our GTM Strategic Analytics & Insights team. As a senior individual contributor, you will play a critical role at the intersection of advanced data science, AI/LLM-driven innovation, and Go-to-Market strategy. You will be responsible for building and maintaining sophisticated predictive and inferential models, conducting deep-dive statistical analyses, and developing AI-first solutions that unlock meaningful insights across the pre and post Sales Customer lifecycle. WHAT YOU'LL DO As a Lead Data Science Analyst, you will be responsible for the following key tasks: - Building and maintaining advanced predictive and time-series models to design, train, deploy, and monitor models across use cases such as demand forecasting, capacity planning, deal scoring, and customer propensity. - Applying statistical rigor to lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and other statistical methods to surface actionable signals from complex, large-scale datasets. - Developing AI/LLM-powered solutions to automate insight generation, surface qualitative signals at scale, and augment team capabilities. - Owning end-to-end forecasting and operational decision systems, including time-series demand forecasting, capacity planning models, and production pipelines that power GTM and Support planning workflows. - Driving customer intelligence by developing and maintaining prospect, deal health, archetype, and capacity models that inform GTM strategy, planning, and growth initiatives. - Defining the measurement framework by identifying, creating, and stewarding benchmarks and metrics that meaningfully represent growth, engagement, and success outcomes. - Communicating complex analyses into clear, cohesive narratives with executive-ready materials that drive decisions at the senior leadership level. - Collaborating cross-functionally with Systems & Engineering, GTM Operations, Rev Ops & Planning, Product, Business Intelligence, Data Science, and Finance to ensure analytical solutions are integrated, scalable, and trusted. WHAT YOU'LL NEED To be successful in this role, you will need: - 6+ years of professional experience in an advanced analytics or data science role, with SaaS experience strongly preferred. - Deep expertise in statistical inference and modeling, including supervised techniques and unsupervised techniques. - Hands-on experience designing and deploying AI/LLM-based solutions, including prompt engineering, fine-tuning, and LLM-integrated analytics workflows. - Familiarity and experience with distributed coding projects, including using Git for code management. - Advanced proficiency in Python (pandas, numpy, scikit-learn, xgboost, statsmodels, and LLM/AI libraries) and SQL, with working knowledge of DBT. - Ability to own and scale end-to-end data pipelines, including orchestration with Airflow and transformation/modeling with dbt. WHY REMOTE Klaviyo is a remote-first company, and this role will be performed entirely remotely. As a remote employee, you will have the flexibility to work from anywhere and will be expected to be highly self-motivated and disciplined in your work. BENEFITS Klaviyo offers a comprehensive benefits package, including: - Competitive salary - Flexible schedule - Professional development opportunities - Health plan - Parental leave -