Data Scientist

HelloTech is HelloFresh's global technology backbone with more than 1000 people, building the digital products that power the end-to-end food experience. HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end.

• Join and become an integral part of a high-impact data science team covering the global demand forecasting domain
• Take technical ownership of demand forecasting time series and causal models from data collection to operationalization
• Shape and transform the future of demand forecasting by proposing new approaches and evolving statistical and ML models
• Experiment and explore opportunities to constantly improve and refine the approaches
• Work with state-of-the-art technologies such as AWS (EMR, Glue, S3), Kafka, PySpark, Airflow, and Databricks for the full ML lifecycle
• Collaborate closely within cross-functional teams (product, demand planning, engineering) to translate business objectives into concrete, data-driven strategies
• Mentor and support data scientists and colleagues

• Proven track record of scientific work in Bachelor's, Master's, or PhD in econometrics, statistics, computer science, physics, economics, mathematics, data science or similar
• Long-term (3+ yrs) work experience as a (senior) data scientist in demand forecasting, developing time series and causal models
• Proficiency in using GenAI tooling to boost productivity
• Fluency and long-term experience in Python, including NumPy, Pandas, Scikit-learn, Matplotlib
• In-depth knowledge of how to handle statistical uncertainties and apply statistical models such as regressors and classifiers
• Ability to retrieve (using SQL), manipulate, and analyse large, heterogeneous datasets
• Comfortable working in cloud-based environments for data science (AWS, GCP, or Azure)
• Strong supply chain domain knowledge is a big plus

• Work with HelloFresh in Warsaw and its HelloTech organisation
• Modern tech stack and international teams