Senior Data Scientist, AdTech Tribe, Growth Alliance (f/m/x)

HelloFresh's HelloTech organisation is a global technology backbone with more than 1000 people building digital products powering a food experience including meal kits, ready-to-eat meals, pet food, and premium meat & seafood. HelloTech creates platforms for millions of customers monthly with a subscription-based model relying on technology for customer apps, personalization, pricing, forecasting, supply chain optimization, and food waste reduction. The Warsaw office works in autonomous, cross-functional alliances owning specific products or domains.

• Bachelor's, Master's, or PhD in statistics, physics, economics, mathematics, data science, or similar.
• 3+ years as a senior data scientist, preferably in e-commerce.
• Strong marketing domain knowledge with experience in Google Search ecosystem and attribution models is a plus.
• Deep understanding of experiment result interpretation, statistical uncertainties, and application of regressors and classifiers.
• Experience with forecasting algorithms, portfolio optimization, and Vector Autoregression.
• Fluency in Python, including the scientific stack (Numpy, Pandas, Scikit-learn, Matplotlib); experience with Databricks is a plus.
• Ability to retrieve and analyze large datasets using SQL and build data pipelines.
• Familiarity with software development tools (Git, Docker, AWS).
• Strong learning ability, critical thinking, and problem-solving skills.
• Excellent communication and collaboration capabilities in an international environment.
• Team player with stakeholder collaboration experience.

• Collaborate with a team of skilled data scientists and engineers.
• Work closely with cross-functional teams (engineering, product, marketing) to translate business objectives into data-driven strategies.
• Deliver and execute scientific optimization models and algorithms from data collection to operationalization.
• Experiment and explore technical improvements continuously.
• Leverage statistical analysis and machine learning to enhance incrementality measurement.
• Innovate new ways to improve delivered data products.