Senior Data Scientist, AdTech Tribe, Growth Alliance

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power the end-to-end food experience. HelloTech creates platforms for meal kits, ready-to-eat meals, pet food, and premium meat & seafood, serving millions of customers monthly. The company operates subscription-based, direct-to-consumer models with technology at every step, including personalization, pricing, forecasting, and supply chain optimization, aiming to reduce food waste. The Warsaw office works in autonomous, cross-functional alliances, owning specific products or domains end to end, focusing on scalable, data-driven products with modern tech stacks and international teams.

• Proven scientific track record through Bachelors, Masters, or PhD in statistics, physics, economics, mathematics, data science, or similar.
• 3+ years of experience as a (senior) data scientist, preferably in e-commerce.
• Strong marketing domain knowledge and experience with Google Search ecosystem and attribution models (a plus).
• In-depth knowledge of experiment result interpretation, handling statistical uncertainties, and applying statistical models such as regressors and classifiers.
• Experience with forecasting algorithms, portfolio optimization, and Vector Autoregression.
• Fluency and long-term experience in Python and its scientific stack such as Numpy, Pandas, Scikit-learn, Matplotlib (Databricks experience is a plus).
• Ability to retrieve (using SQL), manipulate, and analyze large heterogeneous datasets and build data pipelines.
• Familiarity with software development practices and tools including Git, Docker, and AWS.
• Strong critical thinking, creativity, learning mindset, and problem-solving skills.
• Team player with exceptional communication and collaboration capabilities in an international environment.

• Collaborate as an integral part of a team of highly 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, aligning with non-technical stakeholders.
• Experiment and explore opportunities to improve and refine technical approaches.
• Leverage statistical analysis and machine learning algorithms in development and production to enhance incrementality measurement solutions.
• Innovate new ways to improve data products delivered to stakeholders.