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Senior Data Scientist - Marketing Mix Model

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  • Posted 11 days ago
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Job Description

Senior Data Scientist - MMM | Global Analytics HEINEKEN

Drive innovation where data science meets brand power. As a Senior Data Scientist, you will own end to end data products, building advanced machine learning solutions that elevate customer experience, brand performance, and market growth.

What we're looking for

  • 10+ years of experience in Data Science or Machine Learning
  • Strong hands on expertise in Python, with excellent command over OOP concepts
  • Extensive experience executing multiple end to end time series projects
  • Strong foundation in Machine Learning, Statistics, and Predictive Modeling
  • Proven experience in forecasting, personalization, and marketing mix models
  • Strong background in brand, customer, and market analytics
  • Prior experience with Azure is a strong plus, including Databricks, ADF, and Azure ML
  • Solid understanding of model deployment and productionization
  • Experience owning end to end ML solutions from problem framing to deployment
  • This is an individual contributor role

What you'll do

  • Build and deploy full stack data science and machine learning solutions
  • Design and implement predictive, forecasting, and personalization models
  • Execute and scale time series models to drive marketing and business decisions
  • Translate consumer, brand, and market data into measurable business impact
  • Partner with marketing, product, and global stakeholders
  • Productionize models using Python, Azure, and CI/CD pipelines

Why Join us

  • Work at global scale on brand critical initiatives
  • Influence real business and brand decisions with data
  • Collaborate with diverse, world class analytics teams

#SeniorDataScientist #DataScienceJobs #MachineLearning #Python #Azure

#Databricks #AzureML #PredictiveAnalytics #Forecasting #BrandAnalytics

#MarketingAnalytics #CustomerAnalytics #ConsumerInsights #MarketAnalytics

#GlobalAnalytics #HEINEKEN #TechCareers #MLOps #CI_CD

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About Company

Job ID: 137179169