Strong proficiency in Python (pandas, PySpark, scikit-learn)
Experience with Azure ML or Azure ecosystem
Familiarity with MLflow or equivalent experiment tracking tool
Responsibilities
Lead the end-to-end development of sales forecasting models
Collaborate with commercial and supply chain teams to improve forecast accuracy
Design ML solutions to reduce inventory waste
Translate model outputs into actionable business insights
Optimize demand sensing models for CPG portfolios
Support revenue growth through data-driven recommendations
Benefits
Flexible work environment
Opportunity for professional development
Collaborative team culture
Access to cutting-edge technology
Impactful projects in the CPG industry
Full Job Description
Experience Range:
3+ years in CPG, FMCG, or retail analytics
8+ years in data science or applied ML roles
Tech Stack
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
Role Summary:
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.
Primary 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, unspervised 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 buidling ML models in CPG industry
