Job Description & How to Apply Below
As a Data Scientist, you will focus on developing demand forecasting models and analyzing variability in supply chain data. Your experience will help transform complex analytics into actionable insights. Collaborate with cross-functional teams to translate statistical outputs to business needs.
Key Responsibilities:
• Build demand forecasting models using time-series methods
• Perform demand variability analysis with SAP data
• Develop inventory health monitoring analytics
• Extract and interpret SAP planning data
• Partner with teams to validate model outputs
Requirements:
• 5+ years in a Data Scientist role
• Strong applied statistics and forecasting knowledge
• Experience with Databricks and Py Spark
• Proficient in Python and SQL
• Excellent communication skills for diverse stakeholders
Utilize your applied statistics and analytics skills at Lumenalta to drive supply chain innovations.
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