About this role
The Senior Data Scientist will join the GBS Management team at Kraft Heinz to develop and deploy advanced machine learning models for demand forecasting. This role focuses on building statistical and machine learning solutions that drive value across the company's brands by predicting retailer demand in a production environment. Responsibilities include collaborating with cross-functional teams to define business problems, conducting exploratory data analysis, performing feature engineering, and implementing algorithms to optimize forecasting accuracy. The candidate will evaluate and fine-tune models using statistical methods and communicate findings to stakeholders. Required qualifications include a Master's degree in Computer Science, Statistics, Mathematics, or a related field, and at least 5 years of experience in predictive modeling, time-series analysis, and machine learning. Candidates must demonstrate proficiency in Python, R, scikit-learn, and SQL, along with experience in cloud-based services such as AWS, Azure, or Google Cloud. Strong problem-solving and communication skills are essential for success in this collaborative, fast-paced environment.