Data Scientist for Demand Forecasting
3 weken geleden
About the Role
We are seeking a skilled Data Scientist to join our dynamic team at The Kraft Heinz Company. As a Senior Data Scientist, you will be a key contributor on our demand forecasting team, building and testing statistical and machine learning models to accurately predict demand from our retailers.
Key Responsibilities
- Develop advanced time-series models for demand forecasting using strong analytical skills and machine learning expertise.
- 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.
- 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.
Requirements
- 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 skills.
- Proven ability to work effectively in a collaborative, fast-paced environment.
About Us
The Kraft Heinz Company is a leading food company with a rich history of innovation and commitment to quality. We are dedicated to delivering exceptional products and experiences to our customers and consumers.
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