Data Scientist, Finance Forecasting
Core
Build ClickHouse's finance forecasting and measurement capability from the ground up to shape leadership's business planning.
Role type
Founding Data Scientist (Finance Forecasting)
Builds
Production revenue forecasting systems and causal measurement frameworks for a cloud data platform.
Domain
Cloud data warehousing / Real-time analytics / SaaS finance
Deliverable
production ML models
Required skills
Time-series modeling, Causal inference, Python, SQL, Cloud-scale data environments, Usage-based billing forecasting, Statistical modeling, Model deployment and monitoring, AI tools and LLMs
Preferred skills
Experience with ClickHouse, Snowflake, BigQuery, or Spark
Technologies
ClickHouse, Snowflake, BigQuery, Spark, Python, SQL, LLMs
Responsibilities
Own and build production revenue forecasting end-to-end (model development, backtesting, deployment, monitoring), Design and implement causal measurement frameworks to quantify revenue impact, Establish backtesting discipline and accuracy tracking, Contribute to shared analytics infrastructure and internal tooling, Partner with Data Engineering and Revenue Operations to build feature pipelines, Translate model outputs into actionable recommendations for executive leadership
Seniority
Founding, hands-on IC
