Senior Business Data Scientist, Forecasting, Google Cloud

This role is based in Sunnyvale, CA or Austin, TX.

Compensation:

$166,000-$244,000 + bonus + equity + benefits

Responsibilities:

• Develop, deploy, and maintain time series forecasting models to predict customer support case volumes.
• Build and automate scalable data pipelines for model training and inference.
• Monitor model performance and implement techniques to improve accuracy.
• Collaborate with operations and finance to deliver forecasts and explain variance drivers.
• Communicate forecast results to both technical and non-technical audiences.

Minimum qualifications:

• Master's degree in a quantitative discipline or equivalent experience.
• 4 years of experience in data science with a focus on forecasting.
• Experience with Python or R and relevant forecasting libraries.
• Knowledge of statistical modeling and machine learning.

Preferred qualifications:

• PhD in a relevant field.
• 6 years of experience in deploying forecasting models in production.
• Familiarity with Google Cloud Platform and AI/ML services.