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 youre a close but not exact match with the description we hope youll still consider applying. Want to learn more about life at Klaviyo Visit 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 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) 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 including using Git for code management.
• Advanced proficiency in Python (pandas numpy scikit-learn xgboost statsmodels and LLM/AI libraries such as LangChain OpenAI SDK or HuggingFace) 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 approaches such as ARIMA/SARIMAX ETS MSTL and machine learning-based models; evaluate performance through rigorous backtesting and continuously improve model accuracy and business applicability
• Experience building data visualizations and dashboards across platforms such as Tableau ThoughtSpot matplotlib seaborn plotly or similar tooling.
• Strong project ownership: experienced operating to a roadmap managing milestones and deliverables and delivering high-quality work product in a timely manner
• Comfortable with autonomy and ambiguity with a proactive orientation toward identifying and solving problems before theyre fully defined
• Excellent written and verbal communication skills including experience preparing materials for executive audiences