Lead Data Scientist

As Lead Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on Databricks (Azure). You will work closely with commercial, supply chain, and engineering teams to build ML solutions that improve forecast accuracy, reduce inventory waste, and support revenue growth. You bring deep ML expertise, strong Python engineering skills, and a nuanced understanding of CPG market dynamics - and you are comfortable translating complex model outputs into clear business recommendations.

• 8+ years in data science or applied ML roles
• 3+ years in CPG, FMCG, or retail analytics

Tagline/Tech Stack Snapshot

• Hands-on Databricks experience in production
• Strong Python - pandas, PySpark, scikit-learn
• Experience with Azure ML or Azure ecosystem
• MLflow or equivalent experiment tracking tool

Primary (Must have skills)

• 3+ years of experience in Databricks in production
• 5+ years of experience in Python - pandas, PySpark, scikit-learn
• 5+ years of experience with Azure ML or Azure ecosystem
• 3+ years of experience in MLflow or equivalent experiment tracking tool
• 5+ years of experience in Supervised, unsupervised machine learning algorithms, forecasting, and inventory optimization
• 5+ yeras of experience in deep learning algorithms applying to solve forecasting, regression, and classification problems
• 3+ years of experience in building ML models in CPG industry