Data Scientist – Predictive Modeling & Supply Chain Analytics

Role responsibilities

Develop demand forecasting and inventory models using time-series methods and SAP transactional data to optimize supply chain operations. Partner with cross-functional teams to translate domain knowledge into actionable analytical signals and reproducible workflows in Databricks.

Requirements

Requires 5+ years of experience in data science with a strong background in applied statistics and supply chain planning. Proficiency in Python, SQL, and Databricks is essential for manipulating large SAP datasets and building interpretable models.

Key skills

Predictive Modeling, Supply Chain Analytics, Time-Series Forecasting, Applied Statistics, PySpark, SQL, Python, Databricks, SAP ECC, Demand Variability Analysis, Inventory Pre-positioning, MRP Logic, Scikit-learn, Statsmodels, Pandas, Exploratory Data Analysis

Keywords

Data Science, Predictive Modeling, Supply Chain, Manufacturing, Time-Series, ARIMA, Exponential Smoothing, Intermittent Demand, SAP ECC, Databricks, PySpark, SQL, Python, Scikit-learn, Statsmodels, Pandas, MRP, Safety Stock, Reorder Point, Demand Forecasting, CV-based Segmentation, EDA, MARC, MARD, EKKO, EKPO, Inventory Management, Industrial Planning, Analytical Workflows, Data Transformation