Role Overview
This is a business-facing data science role, not a pure modeling position. You will work on real commercial problems across supply, demand, and customer strategy. Your focus is to turn data into clear decisions and measurable impact, not just build models.
What You Will Do
Own E2E data science use cases, build and deploy advanced ML/AI solutions, drive measurable business impact, maintain and improve existing ML solutions, and collaborate with Data Engineers.
Why It Might Be a Fit
5+ years in Data Science, Machine Learning, or Advanced Analytics, experience applying data science to solve real business problems, and strong foundation in machine learning and statistics.
Requirements
- 5+ years in Data Science, Machine Learning, or Advanced Analytics
- Experience applying data science to solve real business problems
- Experience working with stakeholders to shape problems and deliver usable solutions
- Strong foundation in machine learning and statistics
- Proficient in Python and common ML libraries
- Comfortable working with data using SQL and/or PySpark
- Experience with cloud platforms (Azure, AWS, or GCP) or similar environments
To apply for this job please visit linkedin.com.

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