Staff Data Scientist AdTech Ranking

Delivery Hero

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profile Job Location:

Berlin - Germany

profile Monthly Salary: Not Disclosed
Posted on: 12 hours ago
Vacancies: 1 Vacancy

Job Summary

We are on the lookout for Staff Data Scientists to join the AdTech data science team (Ranking Team) on our journey to always deliver amazing experiences.

As part of our Vendor Team youll 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 Heros 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. 

You will be a thought leader driving innovation by designing and deploying our models to the forefront of technology to solve complex problems delivering revenue for Delivery Hero at the frontline of our growth & profitability this role you will

  • Drive transformative innovation in AI-powered ranking and bidding systems for digital advertising.
  • Lead the creation of advanced models and strategies that redefine auction dynamics maximise advertiser ROI and deliver exceptional user experiences.
  • As an expert and visionary you will elevate our advertising intelligence capabilities setting new industry benchmarks while shaping the future of data-driven decision-making at scale.

 

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Qualifications :

The ideal candidate will demonstrate:

  • World-Class AI and ML Expertise:

    • Deep Research Authority in ranking models and cutting-edge approaches to personalisation relevance and multi-objective optimisation under uncertainty.

    • Expertise in bidding algorithms reinforcement learning (RL) and the ability to invent or adapt novel ML architectures to solve previously intractable problems at massive scale.

    • Deep operational knowledge of AI frameworks (e.g. TensorFlow PyTorch) and their application in mission-critical ultra-low-latency real-time decision systems.

  • Advertising Domain Mastery & Economic Acumen:

    • A comprehensive and deep-seated understanding of ad auctions ad exchange platforms and macro-economic dynamics within the programmatic advertising space.

    • A track record of using probabilistic modelling causal inference and statistical rigour to validate assumptions and inform the design of new auction mechanisms and platform policies.

    • Proven experience optimizing CPC CPA and ROAS metrics by driving significant business outcomes across multiple product cycles.

  • Exceptional Data and Statistical Expertise:

    • Advanced proficiency in Python SQL and designing robust end-to-end data workflows for front-end tracking and large-scale behavioral data.

    • The ability to formulate and solve the most complex multi-objective problems effectively balancing conflicting metrics like revenue engagement fairness and system stability.

  • Visionary Leadership in AI Systems:

    • A demonstrated track record of successfully designing building and deploying multiple generations of large-scale AI systems that have delivered measurable multi-million-euro business outcomes.

    • Experience defining and driving the organizational-wide technical strategy (2 years outlook) for Data Science and ML influencing the roadmaps of multiple Engineering and Product teams.

    • A history of mentoring Staff and Senior Staff engineers/scientists and building alignment across a diverse set of engineering product and data organizations to deliver on ambitious goals.

Nice-to-Haves:

  • Expertise in econometrics or game theory as applied to advanced auction and pricing strategies.

  • Major Contributions to open-source AI tools or publications in top-tier machine learning conferences (e.g. NeurIPS ICML KDD).

  • Knowledge of calibration techniques and advanced methodologies to ensure prediction and decision reliability in high-stakes environments.

  • Deep familiarity with Transformer-based architectures or Graph Neural Networks for modeling complex user-item and market interactions.


Additional Information :

Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.

  • 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 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 well 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. Courses.

Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you.

We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust let us know with an email to our Inclusion Officer at it in your application.

Severely disabled applicants with equal qualifications will be given preferential consideration.

Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.


Remote Work :

No


Employment Type :

Full-time

We are on the lookout for Staff Data Scientists to join the AdTech data science team (Ranking Team) on our journey to always deliver amazing experiences.As part of our Vendor Team youll be the driving force behind the success of thousands of restaurants shops and local businesses. Your contributions...
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Key Skills

  • Laboratory Experience
  • Bioinformatics
  • Biochemistry
  • Utility Locating
  • Assays
  • Research Experience
  • Next Generation Sequencing
  • Sensors
  • Signal Processing
  • Matlab
  • Research & Development
  • Molecular Biology

About Company

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As the world’s leading local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent to del ... View more

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