Demand Planning Data Scientist Lead

Tasks

• Analyze large datasets for trends and patterns
• Build statistical forecasting models
• Communicate analytical insights to business stakeholders
• Create and productionize statistical models
• Design and execute experiments to improve models
• Develop predictive forecasts
• Educate organization on data science approaches
• Evaluate IBP plan deviations
• Identify business problems for data science
• Perform root cause analysis on forecast accuracy
• Recommend data collection and integration requirements
• Visualize findings and report results

Perks/Benefits

• Remote work option

Skills/Tech-stack

AWS | Azure | Cause analysis | Data Mining | Data Modeling | Data Visualization | Experiment design | Forecasting | Google Cloud | Machine Learning | Power BI | Predictive Modeling | Python | Qlik | R | Root Cause Analysis | Root cause | SQL | Statistical Analysis | Tableau