Lead Data Science Analyst, GTM Strategic Analytics and Insights

About the role

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.

Responsibilities

• 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

• 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

• Build 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

Requirements

• 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

• 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 they're fully defined

• Excellent written and verbal communication skills, including experience preparing materials for executive audiences

Qualifications

• Master's degree in Statistics, Computer Science, Data Science, Mathematics, or a related field

• Proven track record of delivering impactful data-driven insights and solutions

• Experience with large-scale data sets and complex algorithms

• Strong problem-solving skills and a passion for tackling complex challenges

• Ability to communicate complex ideas clearly and persuasively to both technical and non-technical audiences

Skills

• Python

• SQL

• Time-series forecasting

• Statistical inference and modeling

• AI/LLM integration

• Data visualization and dashboarding

• Project management

Benefits

• Comprehensive health, wellness, and wellbeing benefits

• Generous paid time off and flexible work arrangements

• Professional development opportunities and mentorship programs

• Flexible vacation policy

• Regular team-building activities and social events

• Annual performance review and recognition program

• Equity and sign-on bonuses

Pay

$120,000—$180,000 USD

Schedule

Full-time