Principal Data Scientist - Vendor Recommendations & AI

We are on the lookout for a Principal Data Scientist to join the AdTech data science team (Vendor Recommendations and AI) on our journey to always deliver amazing experiences.

As part of our Vendor Team, you’ll be the driving force behind the success of thousands of restaurants, shops, and local businesses. Your contributions will empower vendors with advanced tools to manage their operations, boosting their visibility, and reach. Every feature you help build will create growth opportunities for businesses of all sizes, strengthening Delivery Hero’s ecosystem and impact.

At Delivery Hero, AdTech introduces people to new food they love and enables our partners to meet their future customers at the perfect moment. We have developed a range of products to offer advertising solutions for restaurants helping them to increase their visibility and reach, improve their order conversion, and eventually drive more sales by covering the entire marketing funnel. Operating across over 50 countries around the clock, our Ad Tech connects the ideal advertiser with the ideal customer millions of times every day. Ad Tech is a fundamental area for us on our path to profitability. our data science team is at the heart of this growth, powering personalisation, Ranking, relevance, and recommendation. 

• End-to-End Ownership: Lead the design, build, and deployment of large-scale AI recommendation systems that deliver multi-million-euro business outcomes for the vendor vertical.

• Next Best Action (NBA) Framework: Own the architecture and modeling for determining the optimal sequence and timing of actions (eg ad suggestions, promotional offers, operational advice) to maximize vendor success metrics.

• Strategic Time-Series & Forecasting: Lead all core initiatives in advanced time series modeling for demand prediction, vendor forecasting, and understanding long-term trends in the vendor base.

• Commercial Insights & Take Rate: Act as the technical authority for take rate optimisation, using statistical rigour and causal methods to measure the incrementality and efficiency of all vendor-facing pricing and adtech levers.

• Cross-Functional Alignment: Act as the primary technical partner for Product, Engineering, and Commercial teams to validate or debunk business hypotheses and drive alignment on the recommendations strategy.