Lead Data Science Analyst, GTM Strategic Analytics and Insights

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.

• Build and maintain advanced predictive and time‑series models—including demand forecasting, capacity planning, deal scoring, and customer propensity—incorporating seasonality, exogenous drivers, and backtesting frameworks to ensure accuracy and robustness.
• 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.
• 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 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.
• Develop and maintain prospect, deal health, archetype, and capacity models that inform GTM strategy, planning, and growth initiatives.
• Identify, create, and steward benchmarks and metrics that meaningfully represent growth, engagement, and success outcomes.
• Distill complex analyses into clear, cohesive narratives with executive‑ready materials that drive decisions at the senior leadership level.
• 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.

• 6+ years of professional experience in advanced analytics or data science;
  SaaS experience strongly preferred.
• Deep expertise in statistical inference and modeling, including supervised techniques (regression, classification, gradient boosting, decision trees) and unsupervised techniques (clustering, PCA, anomaly detection, topic modeling).
• Hands‑on experience designing and deploying AI/LLM‑based solutions, including prompt engineering, fine‑tuning, RAG pipelines, or LLM‑integrated analytics workflows; you approach new problems with an AI‑first mindset.
• Familiarity and experience with distributed coding projects, using Git for code management.
• Advanced proficiency in Python (pandas, numpy, scikit‑learn, xgboost, stats models, and LLM/AI libraries such as Lang Chain, OpenAI SDK, or Hugging Face) and SQL; working knowledge of DBT.
• Own and scale end‑to‑end data pipelines, including orchestration with Airflow and transformation/modeling with dbt; design reliable, testable, and modular workflows that support production‑grade analytics and machine learning use cases, with a focus on performance, data quality, and maintainability.
• Develop and iterate on time‑series forecasting frameworks using architectures such as ARIMA/SARIMAX, ETS, MSTL, and machine learning‑based models; evaluate performance through rigorous backtesting and continuously improve model accuracy and business applicability.
• Build data visualizations and dashboards across platforms such as Tableau, Thought Spot, matplotlib, seaborn, plotly, or similar tooling.
• Strong project ownership: experienced operating to a roadmap, managing milestones and deliverables, and…