Machine Learning Data Scientist - Consumer Forecasting

Tech Stack

Solid badges = required, outlined = preferred

Responsibilities

• Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains.
• Own the end-to-end modeling lifecycle, including feature engineering, model development, prototyping, deployment, monitoring, and explainability.
• Develop and productionize scalable forecasts for core metrics such as user growth, monetization, compute load, and profitability.
• Contribute to self-service forecasting tools and internal platforms to enable real-time predictions across teams.
• Research and evaluate emerging techniques in forecasting, including LLM extensions, causal forecasting, and hybrid approaches.

Soft Skills

Benefits

• Hybrid Work
• Relocation Assistance

Culture

Requirements