Senior Demand Forecasting Data Scientist

Transform demand planning success as a Senior Data Scientist. Specialize in machine learning and time-series modeling to create robust forecasting solutions.

In this senior role, you will leverage over 10 years of expertise in applied data science, particularly in demand forecasting for CPG, FMCG, or retail sectors. Your primary focus will be on designing, developing, and implementing forecasting models that translate business needs into effective analytics solutions. Collaboration with stakeholders is key to aligning forecasting activities with organizational goals.

Key Responsibilities:

• Build time-series forecasting models including ARIMA and ETS

• Develop machine-learning models with Random Forest and LightGBM

• Implement multi-level forecasting strategies across channels

• Execute data extraction and transformation using SQL

• Deploy and operationalize models in Azure cloud environments

Requirements:

• 10+ years in data science or advanced analytics

• 5+ years of demand planning or forecasting expertise

• Substantial experience in the CPG, FMCG, or retail industry

• Proficient in Python data libraries and SQL

• Demonstrated model deployment experience in cloud settings

Apply your knowledge to enhance demand forecasting practices and drive actionable insights effectively.
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