Related skills
forecasting bigquery snowflake sql python📋 Description
- Own production revenue forecasting end-to-end: model development, backtesting, deployment
- Build forecasting systems for usage-based pricing and customer lifecycle
- Design causal measurement to quantify revenue impact of launches and pricing
- Establish backtesting discipline and accuracy tracking as finance metrics
- Contribute to analytics infrastructure and tooling for faster workflows
- Translate model outputs into actionable recommendations for Finance and leadership
🎯 Requirements
- Advanced degree in quantitative field (Statistics/Math/CS/Physics/Economics) or equivalent prod experience
- Hands-on experience building ML/stat systems with forecasting or causal inference in production
- Strong statistics foundation: time-series, state-space, hierarchical models, or causal inference
- Proficient in Python and SQL; productionize models in cloud-scale data environments
- Experience with ClickHouse, Snowflake, BigQuery, or Spark
- Experience forecasting usage-based businesses (cloud/API/marketplace)
🎁 Benefits
- Flexible work environment – remote-friendly
- Healthcare – employer contributions toward healthcare
- Equity in the company – stock options
- Time off – flexible time off in US; generous elsewhere
- A $500 home office setup for remote employees
- Global Gatherings – company-wide offsites
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