Lead Data Science Analyst, GTM Strategic Analytics and Insights

📋 Description

• Build and maintain predictive/time-series models for demand, capacity, and propensity.
• Lead deep-dive analyses with regression, causal inference, and hypothesis testing.
• Develop AI-first analyses using LLMs, prompt engineering and RAG.
• Own forecasting and production pipelines (Airflow and dbt) for GTM/Support.
• Drive customer intelligence models to inform GTM strategy and growth.
• Define measurement framework with benchmarks and metrics for growth and engagement.

🎯 Requirements

• 6+ years in advanced analytics or data science; SaaS experience preferred.
• Statistical inference and modeling: supervised and unsupervised methods.
• AI/LLM solutions: prompt engineering, fine-tuning, RAG pipelines.
• Advanced Python (pandas, numpy, scikit-learn) and SQL; dbt knowledge; Git.
• End-to-end data pipelines with Airflow; production-grade analytics.
• Time-series forecasting methods (ARIMA/SARIMAX, ETS) with backtesting.

🎁 Benefits

• Travel up to 10% for onboarding, client/partner work, team meetings and events.
• Generous health, welfare and wellbeing benefits.