onsite
Senior Data Scientist - Weyerhaeuser
Data Scientist
Senior Data Scientist leading advanced analytics and machine‑learning initiatives to drive sustainable forest management, leveraging Python, statistical modeling, and cloud platforms to turn large timberland datasets into actionable insights.
About the role
Key Responsibilities
- Design and implement predictive models and machine‑learning pipelines to optimize forest growth, yield forecasting, and sustainability metrics.
- Collaborate with cross‑functional teams to translate business problems into data‑driven solutions, delivering actionable insights for land management and operations.
- Develop and maintain data pipelines and ETL processes on AWS, ensuring high‑quality, scalable data ingestion from remote sensing, IoT sensors, and operational databases.
- Create interactive visualizations and dashboards that communicate complex analytical results to stakeholders at all levels.
- Mentor junior data scientists and promote best practices in statistical modeling, code versioning, and reproducible research.
Requirements
- 5+ years of professional experience in data science or advanced analytics, preferably in natural resources, agriculture, or related industries.
- Proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and strong SQL skills for data extraction and manipulation.
- Hands‑on experience building and deploying models on AWS services such as SageMaker, EMR, or Lambda.
- Solid foundation in statistical modeling, experimental design, and time‑series analysis.
- Excellent communication skills with the ability to convey technical concepts to non‑technical audiences.
Skills
pythonmachine learningsqlaws