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Tier-1 brand, remote role, and popular data science title drive high applicant competition.
Forecasting and supply-chain domain expertise makes background fit highly industry-specific.
Mandatory 10+ years plus forecasting, Databricks and PySpark expertise creates strict filtering criteria.
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Own and enhance advanced forecasting methodologies for demand forecasting to improve accuracy and reduce bias.
Develop, refine, and deploy Python/PySpark algorithms and statistical models in Databricks for predictive analysis within the supply chain and demand planning context.
Collaborate with Demand Planners and stakeholders to analyze forecast performance, incorporate feedback, and lead continuous improvement projects on forecasting models.
Bachelor's Degree required; Masters in Statistics, Applied Mathematics, or Engineering with analytics focus preferred.
10+ years of experience in statistical modeling, machine learning, and forecasting, especially in supply chain or demand forecasting domain.
Strong skills in Python, PySpark, SQL, Power BI, Tableau, and experience working with cloud platforms like Databricks.
Experience leading multiple projects in FMCG, Food & Beverages, Retail or similar industries preferred but not explicitly mandatory.
Experienced data scientist with strong expertise in statistical forecasting and machine learning models relevant to demand planning.
Proficient in implementing, maintaining, and improving predictive algorithms in cloud environments (Databricks preferred).
Capable of translating complex data science outcomes into business-understandable language and collaborating effectively with cross-functional teams such as Demand Planners.