Senior Data Scientist

📋 Description

• Own and improve production forecasting systems for core financial metrics, especially
• Build and maintain scalable statistical and machine learning models that translate customer
• Design forecasting approaches that prioritize accuracy, stability, explainability, robustness, and
• Establish and maintain high standards for model evaluation, backtesting, forecast decomposition
• Diagnose material forecast movements quickly and clearly, separating true business change from data
• Improve the reliability of the forecasting stack through better monitoring, anomaly detection

🎯 Requirements

• Advanced degree in Statistics, Mathematics, Operations Research, Economics, Engineering, Computer
• 5+ years of experience building and operating production-grade statistical, forecasting, or machine
• Strong hands-on experience with forecasting problems, ideally in revenue, demand, supply, capacity
• Deep modeling skills with judgment on when to use simpler driver-based approaches versus
• Strong proficiency in Python and SQL, with ability to manipulate data, build models, and
• Experience with large-scale data systems and platforms such as Snowflake, BigQuery, Redshift, or

🎁 Benefits