Ai/ml Data Scientist - Sales Forecasting

Philips

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Demand forecasting
Machine learning models
Data pipelines
** Philips is seeking an AI/ML Data Scientist specializing in sales forecasting to design and implement predictive models, optimize pricing strategies, and ensure data quality. The role emphasizes end-to-end model ownership, collaboration with cross-functional teams, and the ability to present complex insights to stakeholders. **

Job Summary

  • Design, build, and deploy scalable demand forecasting models to predict product demand at various levels.
  • Own the full ML lifecycle including data exploration, feature engineering, model training, validation, deployment, monitoring, and iteration.
  • Collaborate with cross-functional teams to ensure successful operationalization and integration of data science solutions.

Matching Summary

Match Score: 75

** Philips is seeking an AI/ML Data Scientist specializing in sales forecasting to design and implement predictive models, optimize pricing strategies, and ensure data quality. The role emphasizes end-to-end model ownership, collaboration with cross-functional teams, and the ability to present complex insights to stakeholders. **

Skills & Requirements

Must-have

  • Demand Forecasting
  • Machine Learning Models
  • Data Pipelines
  • End-to-End Model Ownership
  • Statistical Methods
  • Data Mining
  • Business Intelligence Tools

Nice-to-have

  • Data Governance
  • Regulatory Compliance
  • Research & Analysis
  • Root Cause Analysis

Key Requirements

  • Bachelor's / Master's Degree in relevant field
  • Minimum 3 years of experience with Bachelor's or no experience with Master's
  • Experience with Data Analytics, Data Science, or related areas

Work Rights

Not specified

Tailored Resume

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