Demand Planning Data Scientist Lead
Core
Lead a team in building statistical and machine learning models to forecast product demand across geographies, ensuring alignment between supply and demand for inventory and supply plans.
Role type
Senior IC demand planning data scientist lead
Builds
Productionized statistical forecasting models and analytical insights for Integrated Business Planning (IBP)
Domain
Supply chain management + predictive analytics
Deliverable
production ML models
Required skills
predictive modeling, machine learning, statistical analysis, Python, R, SQL, data visualization, hypothesis testing, large dataset analysis, strategic data recommendations
Preferred skills
business planning and forecasting experience, cloud platforms (AWS, Azure, Google Cloud), advanced machine learning frameworks
Technologies
Python, R, SQL, Tableau, Power BI, Qlik, Spotfire, AWS, Azure, Google Cloud
Responsibilities
Develop and implement predictive models for product order forecasting; assist planners with root cause analysis of forecast accuracy and bias; evaluate IBP deviations; design and execute experiments to validate model performance; create and validate statistical models for production use; identify data science opportunities and communicate findings to stakeholders; provide strategic recommendations on data collection and integration; drive innovation in forecasting capabilities.
Seniority
Senior, hands-on IC with team leadership