
This role focuses on developing statistical models for demand forecasting and collaborating with demand planners to improve business processes. You will drive innovation in forecasting capabilities and provide strategic data recommendations.
As a Demand Planning Data Scientist, you will be responsible for building statistical models and delivering insights to guide business decisions related to demand forecasting. This role involves close collaboration with IBP demand planners to generate reliable forecasts, ensuring effective demand schedules and enhancing the customer experience. You will lead the development of predictive models, assist with root cause analysis, and communicate analytical gains to various business functions.
Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, or a related field
1-2+ years of experience in data science or equivalent work experience
Extensive knowledge in predictive modeling, machine learning, and statistical analysis
Proficiency in programming languages such as Python, R, or SQL
Agilent Technologies has not disclosed the salary for this role.
This Demand Planning Data Scientist position is based in Penang, Malaysia. This role is fully remote.
Agilent Technologies is looking for Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, or a related field; 1-2+ years of experience in data science or equivalent work experience; Extensive knowledge in predictive modeling, machine learning, and statistical analysis.
Apply directly on SuperJobs — create a free profile, upload your CV once and submit. There is no agency fee and no charge to applicants. Applications close 2026-11-07.
Company
Agilent Technologies
Location
Penang
Salary
Undisclosed
Skills Required
8 skills
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Agilent Technologies has not disclosed the salary for this role.
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