Specialist - Data Sciences

Specialist - Data Sciences

Job Summary

We are seeking a highly motivated Data Scientist to join the Mondelez Computer Assisted Ordering CAO program The role involves developing enhancing and maintaining predictive models that generate accurate order recommendations using retailer POS inventory and sales data The candidate will collaborate with business product engineering and data teams to deliver scalable AIML solutions that improve forecast accuracy and support replenishment decisions

Key Responsibilities

Develop validate and deploy machine learning models for demand forecasting and order quantity prediction

Analyze largescale retailer sales inventory promotional and operational datasets to derive actionable insights

Build and optimize forecasting models using statistical and machine learning techniques

Collaborate with Data Engineers to design and operationalize endtoend ML pipelines

Perform feature engineering model training hyperparameter tuning and performance evaluation

Monitor model performance and recommend enhancements to improve forecast accuracy and business outcomes

Partner with product and business stakeholders to translate requirements into analytical solutions

Document model assumptions methodologies and results for business consumption

Support production deployments and troubleshooting of modelrelated issues

Required Skills

Strong handson experience in Python and SQL

Experience with Machine Learning libraries such as Scikitlearn XGBoost LGBM

Solid understanding of forecasting techniques regression models and timeseries analysis

Experience handling large datasets in cloud environments

Knowledge of Databricks SparkPySpark and MLflow

Strong analytical problemsolving and statistical modeling skills

Experience working with retail CPG supply chain demand planning or forecasting use cases

Ability to communicate technical concepts effectively to business stakeholders

Preferred Skills

Experience with Azure Databricks or GCP Databricks

Knowledge of MLOps and CICD practices for model deployment

Experience with demand forecasting replenishment inventory optimization or order recommendation systems

Key Success Metrics

Forecast Accuracy Improvement

Model Stability and Production Reliability

Business Adoption of Recommendations

Timely Delivery of Analytics and ML Enhancements

Primary Skills Data Science Python Machine Learning Forecasting Databricks SQL

Secondary Skills PySpark Time Series Forecasting Retail Analytics GCP Cloud