Role Overview
The AI/ML Data Scientist – Sales Forecasting will design, build, and deploy scalable demand forecasting models to predict product demand at SKU, category, channel, and regional levels. The role involves owning the full ML lifecycle, analyzing multifaceted data problems, and creating advanced proof of concepts to validate and refine analytical models.
What You Will Do
The AI/ML Data Scientist – Sales Forecasting will execute the deployment and rigorous testing of data science solutions, maintain robust data pipelines, and develop methodologies to support advanced analytics and machine learning projects.
Why It Might Be a Fit
The AI/ML Data Scientist – Sales Forecasting will present complex data-driven insights to senior stakeholders, effectively translating analytical results into clear, actionable business strategies and influencing key decision-making processes.
Requirements
- Bachelor’s / Master’s Degree in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.
- Minimum 6 years of experience with Bachelor’s in areas such as Data Analytics, Data Science, Data Mining, Artificial Intelligence, Pattern Recognition or equivalent.
To apply for this job please visit philips.wd3.myworkdayjobs.com.

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