remote
Sr. Data Scientist, Forecasting - Pinterest
Data Scientist
Lead advanced forecasting initiatives using Python and machine learning, driving data‑driven decisions across product and business teams. Leverage time‑series analytics, SQL, and AWS to build scalable models that predict user behavior and market trends.
About the role
Key Responsibilities
- Design, develop, and deploy production‑ready forecasting models to predict user engagement, content demand, and inventory needs.
- Collaborate with cross‑functional teams to translate business questions into analytical solutions and actionable insights.
- Engineer data pipelines and feature stores in AWS, ensuring data quality, scalability, and reproducibility.
- Conduct rigorous model validation, A/B testing, and performance monitoring to continuously improve forecast accuracy.
- Communicate findings through clear visualizations and executive‑level presentations.
Requirements
- 5+ years of experience in data science with a focus on forecasting and time‑series analysis.
- Proficiency in Python, SQL, and machine‑learning libraries (scikit‑learn, Prophet, TensorFlow).
- Hands‑on experience with AWS services (S3, Redshift, SageMaker, Lambda).
- Strong statistical background and ability to translate complex models into business impact.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningsqlaws