Data Scientist

Experteer Overview As a Data Scientist at Weyerhaeuser, you will apply advanced analytics to manufacturing, aiming to improve product quality, reliability, and mill uptime. You’ll partner with mills and cross-functional teams to translate problems into ML opportunities and define measurable business outcomes. Your work spans time-series data, sensors, and enterprise data to drive data-driven decisions and operational improvements. This role combines scientific rigor with practical impact in a sustainability-driven, industrial setting. You will shape analytics practices and contribute to scalable AI solutions across manufacturing domains. Compensation / Benefits * Collaborate with manufacturing, reliability, maintenance, quality, and operations teams to translate problems into machine learning opportunities. * Analyze large industrial time-series and sensor data to identify patterns, bottlenecks, and root causes. * Establish reusable patterns, standards, and best practices for model development and deployment. * Define success metrics balancing model performance with business outcomes such as efficiency and quality. * Partner with Product Managers to identify and prioritize opportunities solvable with a scientific approach. * Influence technical direction across programs without direct authority. * Design, execute, and analyze experiments (A/B testing, causal inference) to evaluate impact. * Develop and evaluate ML/DL models for forecasting, optimization, reliability, anomaly detection, and decision support. * Implement statistical process control and anomaly detection to address quality issues. * Own end-to-end model lifecycle: feature engineering, training, validation, deployment, monitoring, retraining, improvement. * Collaborate with engineers to productionize models and integrate AI into workflows. * Translate ambiguous problems into scientific approaches and communicate data-driven recommendations. * Develop visualizations and dashboards to drive business decisions and contribute to analytics libraries. Tasks * 5+ years in developing and deploying ML/AI solutions in manufacturing or related domains. * Strong software engineering skills in Python and modern ML frameworks. * Expertise in supervised learning, forecasting, optimization, statistical modeling, anomaly detection, evaluation, and experimentation. * Proven success delivering enterprise-scale AI products from concept to production. * Experience leading ambiguous technical initiatives. * Ability to influence technical strategy across teams. * Experience with experimentation and causal inference including A/B testing and counterfactual analysis. * Experience communicating insights with Power BI or Python visualization (Plotly/Matplotlib). * Experience with cloud platforms and data architectures (AWS, Azure, Snowflake) and MLOps, CI/CD, lifecycle management. Key requirements * comprehensive benefits plan * medical, dental, vision * short and long-term disability * life insurance * 401k with company match * paid vacation and holidays

_ and contribute to analytics libraries. Tasks * 5+ years in developing and deploying ML/AI solutions in manufacturing or related domains. * Strong software engineering skills in Python and modern ML frameworks. * Expertise in supervised learning, forecasting, optimization, statistical modeling, anomaly detection, evaluation, and experimentation. * Proven success delivering enterprise-scale AI products from concept to production. * Experience leading ambiguous technical initiatives. * Ability to influence technical strategy across teams. * Experience with experimentation and causal inference including A/B testing and counterfactual analysis. * Experience communicating insights with Power BI or Python visualization (Plotly/Matplotlib). * Experience with cloud platforms and data architectures (AWS, Azure, Snowflake) and MLOps, CI/CD, lifecycle management. Key requirements * comprehensive benefits plan * medical, dental, vision * short and long-term disability * life insurance * 401k aa

• company match * paid vacation and holidays