Related skills
sql python tableau dbt airflowπ Description
- Build and maintain predictive and time-series models across use cases.
- Apply statistical rigor with regression, causal inference, hypothesis testing.
- Develop AI-first analyses using LLMs, prompt engineering, RAG.
- Own forecasting & decision systems for demand and capacity planning.
- Drive customer intelligence models to inform GTM strategy.
- Define measurement benchmarks and metrics for growth and engagement.
π― Requirements
- 6+ years in advanced analytics or data science; SaaS exp preferred.
- Deep expertise in statistical inference and modeling (regression, classification, etc) and unsupervised methods.
- Hands-on AI/LLM-based solutions: prompt engineering, RAG, LLM-integrated analytics.
- Proficiency in Python and SQL; DBT; Git familiarity.
- End-to-end data pipelines with Airflow and dbt; production-grade workflows.
- Time-series forecasting (ARIMA/SARIMAX, ETS, MSTL) with backtesting.
π Benefits
- Generous health, welfare, and wellbeing benefits.
- Travel up to 10% for onboarding, client/partner work, and events.
- AI guidelines for responsible AI use and privacy notices.
- Equal opportunity and non-discrimination.
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