Demand Planning Data Scientist

Tasks

• Analyze historical data for demand forecasting
• Analyze large datasets for trends
• Communicate model insights to business stakeholders
• Create production ready statistical models
• Design experiments to improve model performance
• Develop predictive forecasting models
• Educate organization on new analytical approaches
• Evaluate IBP deviations impact
• Perform root cause analysis on forecast accuracy
• Recommend data collection integration and retention requirements
• Stay updated on data science and machine learning advancements
• Visualize and report findings to stakeholders

Perks/Benefits

• Remote work option

Skills/Tech-stack

Cause analysis | Data Visualization | Machine Learning | Predictive Modeling | Python | R | Root Cause Analysis | Root cause | SQL | Statistical Analysis