Job
In this role, you will develop AI-driven recommendation systems and lead time series analyses to predict and optimize business metrics, maximizing vendor success.
Job summary
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Job technologies
Your role in the team
- 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.
- 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 (e.g., 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.
Our expectations of you
Qualifications
- Recommendation Architect: Expert practitioner in designing, building, and deploying large-scale, high-performance recommendation systems (e.g., two-tower, deep sequence models, Graph Neural Networks) for the B2B or marketplace domain.
- Sequential/Timeseries Specialist: Thought leader in using timeseries analysis and sequence modeling (e.g., LSTMs, transformers, advanced forecasting) for vendor behavior, next-best-action prediction, and demand forecasting.
- Causal Inference for Action: Proven ability to apply causal inference and advanced experimentation frameworks to quantify the true incremental impact of recommendations and vendor-facing product features.
- Take Rate Analysis: Deep expertise in the analytical frameworks and models required for optimizing key commercial metrics like take rate, vendor LTV, and churn prediction.
- Multi-Objective Optimization: Mastery in formulating and solving problems that balance potentially conflicting vendor KPIs - such as maximizing short-term revenue/take rate while maintaining vendor engagement and long-term retention/success.
- Probabilistic Modeling: Strong foundation in Bayesian methods and uncertainty quantification to provide reliable forecasts and confidence intervals around business-critical projections.
- Production Excellence: Deep operational knowledge of deploying these sophisticated models using Python frameworks like Keras, scikit-learn.
- The "Recommendation North Star": Proven ability to define a 2+ year technical roadmap for Vendor Recommendation Data Science, influencing the strategic direction of Product, Engineering, and Commercial leadership.
- Decision Science Mastery: A track record of translating complex ML/statistical findings into clear, actionable executive narratives (e.g., explaining the trade-offs of a new recommendation model to senior leadership).
- Force Multiplier: A history of mentoring Staff and Senior Data Scientists, raising the bar for scientific rigour and production ML excellence across the entire organisation.
Experience
- Algorithmic Decisioning: Deep experience in designing and deploying real-time decision-making algorithms that power "Next Best Action" systems and adapt to shifting vendor and market conditions.
What we offer
- Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week.
- We offer 27 days holiday with an extra day on the 2nd and 3rd year of service.
- We will support you in developing yourself and your career growth opportunities: €1,000 educational budget, language courses, parental support, and access to the Udemy Business platform to explore a variety of online courses.
- Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy.
- Cash. Dough. Cheddar. Whatever you call it, we'll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan.
- The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts.
- Wondering what relocating to Berlin is like? In this article, we've put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.
Benefits
Food & drink
Work-Life-Integration
Health, fitness & fun
Topics you will work on
Job locations
About your employer
What started as an ambitious idea is now the leading local delivery company. Delivery Hero is present in around 50 countries across four continents and is on a mission to deliver anything, straight to customers’ doors.
- 2011
- English
- Established Company
- Onsite, Hybrid
- Trade
Employer reviews
3.2Total(2 reviews)
- Engineering
- 2.8
- Career growth
- 3.2
- Team culture
- 3.3
- Working conditions
- 3.8
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