About this role
Associate Data Scientist Kraft Heinz • Amsterdam, NL • 1w geleden Job Description You will be a key contributor on demand forecasting team. You will build and test statistical and machine learning models to accurately predict demand from our retailers. The models you build will be deployed into a production setting where your models will drive value across all our brands. You will provide updates and results to the Product Owner and Data Science Lead on the progress of your work while partnering with the business users to identify modeling opportunity areas. Key Ingredients - Utilize your strong analytical skills and machine learning expertise to develop advanced time-series models for demand forecasting. - Collaborate with cross-functional teams to identify and define business problems related to demand forecasting. - Conduct exploratory data analysis and feature engineering to extract valuable insights from complex datasets. - Develop and implement machine learning algorithms to optimize demand forecasting accuracy and efficiency. - Evaluate and fine-tune models by applying statistical methods and running experiments on real-world data. - Communicate findings and insights to team members and work with the team to define modeling next steps Recipe for Success: Apply if this sounds like you! - Master's degree in Computer Science, Statistics, Mathematics, or a related field. - 2+ years experience with predictive modeling time-series, machine learning, statistical modeling - Experience building demand forecast models - Proficiency in programming languages such as Python and R, as well as libraries like scikit-learn - Knowledge on factors that influence shipment demand - Proficient in SQL and working with relational databases. - Experience using cloud-based services such as AWS, Azure, or Google Cloud - Excellent problem-solving skills and ability to think critically about complex business challenges. - Strong communication s...