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Staff Data Scientist, Forecasting - Pinterest
Data Scientist
Lead advanced forecasting initiatives, building scalable ML models in Python on AWS to predict user engagement and inventory demand, driving data‑driven decisions for a global product platform.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade forecasting models using Python, SQL, and AWS services.
- Collaborate with cross‑functional teams to translate business questions into analytical solutions and actionable insights.
- Lead end‑to‑end model lifecycle: data ingestion, feature engineering, model training, validation, and monitoring.
- Mentor junior data scientists and promote best practices in reproducible research and model governance.
- Communicate complex findings to stakeholders through clear visualizations and concise reports.
Requirements
- 10+ years of experience in data science with a focus on forecasting and time‑series analysis.
- Proficiency in Python, SQL, and cloud platforms (AWS).
- Deep knowledge of machine learning algorithms, model evaluation, and deployment pipelines.
- Strong analytical mindset, excellent communication skills, and a track record of influencing product strategy.
Skills
pythonmachine learningsqlaws