Lead Data Science Analyst, GTM Strategic Analytics and Insights

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Summary Klaviyo is looking for a Lead Data Science Analyst to join our GTM Strategic Analytics Insights team. In this role, you will serve as a senior individual contributor at the intersection of advanced data science, AI/LLM-driven innovation, and Go-to-Market strategy. You will build and maintain sophisticated predictive and inferential models, conduct deep-dive statistical analyses, and develop AI-first solutions that unlock meaningful insights across the pre and post Sales Customer lifecycle. The successful candidate will partner closely with GTM leadership to shape how Klaviyo understands, measures, and accelerates new business and customer outcomes; from pre-sales motion through onboarding, expansion and retention. You will operate with a strong bias toward AI-augmented workflows and bring a modern, LLM-aware approach to every analytical challenge. The ideal candidate is intellectually curious, strategically minded, and energized by hard problems. They bring deep technical fluency across the full data science stack, a demonstrated ability to influence senior stakeholders through clear storytelling, and a genuine commitment to building AI-first solutions in a fast-moving SaaS environment. How You Will Make a Difference Build and maintain advanced models : Build and maintain advanced predictive and time-series models: design, train, deploy, and monitor models across use cases such as demand forecasting, capacity planning, deal scoring, and customer propensity; incorporate seasonality, exogenous drivers, and backtesting frameworks to ensure accuracy and robustness Apply statistical rigor : 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 Develop AI/LLM-powered solutions : architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques to automate insight generation, surface qualitative signals at scale, and augment team capabilities Own forecasting and decision systems: Own end-to-end forecasting and operational decision systems, including time-series demand forecasting, capacity planning models (e.g., Erlang-based staffing), and production pipelines that power GTM and Support planning workflows; ensure reliability, scalability, and business adoption of outputs Drive customer intelligence : develop and maintain prospect, deal health, archetype, and capacity models that inform GTM strategy, planning, and growth initiatives Define the measurement framework : identify, create, and steward benchmarks and metrics that meaningfully represent growth, engagement, and success outcomes Communicate with impact : distill complex analyses into clear, cohesive narratives with executive-ready materials that drive decisions at the senior leadership level Collaborate cross-functionally : partner with Systems Engineering, GTM Operations, Rev Ops Planning, Product, Business Intelligence, Data Science, and Finance to ensure analytical solutions are integrated, scalable, and trusted Who You Are 6+ years of professional experience in an advanced analytics or data science role; SaaS experience strongly preferred Deep expertise in statistical inference and modeling , including supervised techniques (regression, classification, gradient boosting, decision trees ... (truncated, view full listing at source)