Delivery Hero

Tech

PrincipalDataScientistVendorRecommendations&AI

Berlin, Germany FULL TIME
The Brief

“Principal Data Scientist - Vendor Recommendations & AI at Delivery Hero. Skills: Recommendation Systems, Time-Series Modeling, Causal Inference, Next Best Action Framework, Take Rate Optimization. Lead the design, build, and deployment of large-scale AI recommendation systems. Own the architecture and modeling for determining the optimal sequence and timing of actions”

What You'll Achieve.

Deliver multi-million-euro business outcomes for the vendor vertical; Maximize vendor success metrics; Optimize key commercial metrics like take rate, vendor LTV, and churn prediction; Balance potentially conflicting vendor KPIs

Industry & Context.

Tech
Problems you'll solve

Validate or debunk business hypotheses

What They're Looking For.

Must Have

SQL proficiency, Years of experience

Nice to Have

PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, dbt Certified certification

What You'll Do.

and deployment of large-scale AI recommendation systems

Own the architecture and modeling for determining the optimal sequence and timing of actions

Lead all core initiatives in advanced time series modeling for demand prediction

and understanding long-term trends

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

Act as the primary technical partner for Product

and Commercial teams to validate or debunk business hypotheses and drive alignment on the recommendations strategy

Define a 2+ year technical roadmap for Vendor Recommendation Data Science

Translate complex ML/statistical findings into clear

actionable executive narratives

Mentor Staff and Senior Data Scientists

How You'll Work.

Team & Collaboration

Cross-Functional Alignment; Primary technical partner for Product, Engineering, and Commercial teams; Influence the strategic direction of Product, Engineering, and Commercial leadership

Communication Scope

Translating complex ML/statistical findings into clear, actionable executive narratives

Free ATS check

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