Demand Planning Data Scientist
Agilent · Penang, Malaysia
ResearchFull-timeCompany career page
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Role summary
Agilent seeks a Demand Planning Data Scientist to develop predictive models and statistical forecasts that guide inventory and supply chain decisions. The role involves collaborating with demand planners to deliver accurate demand forecasts across geographies and translating analytical findings into actionable business insights.
What they're looking for
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field
- 1-2+ years of experience in data science or equivalent work experience
- Strong expertise in predictive modeling, machine learning, and statistical analysis
- Proficiency in Python, R, or SQL programming languages
- Ability to communicate analytical insights effectively to business stakeholders
What you'll be doing
- Develop and implement predictive models to forecast product orders across multiple geographies using historical data and machine learning
- Conduct root cause analysis on forecast accuracy, bias, and other key metrics to identify improvement opportunities
- Collaborate with demand planners to evaluate deviations and understand impacts on planning cycles
- Design experiments to validate model performance and generate insights that enhance forecasting accuracy
- Create statistical models for production use and educate the organization on innovative analytical approaches
Privacy & handoff
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