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Principal Data Scientist - Ad Tech

Company Description

As the world’s pioneering 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, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

Job Description

We are on the lookout for a Principal Data Scientist to join the Ad Tech data science team in our mission to deliver consistently 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.

We are using AdTech to introduce people to new food they love and to enable our partners to meet their future customers at the perfect moment. a range of products that we have developed to offer advertising solutions for restaurants, which help them to increase their visibility and reach, improve their order conversion, and eventually drive more sales by covering the entire marketing funnel. Operating across about 70 countries around the clock, our AdTech connects the ideal advertiser with the ideal customer millions of times every day. In 2024/25, AdTech is a fundamental area for us on our path to profitability and is predicted to generate more than 1 billion euros in revenue for Delivery Hero; our innovative tech and product offering is the backbone of that development.

In this role, 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 journey. 

  • Work on one of the most exciting topics at Delivery Hero with significant top management attention

  • Drive transformative innovation in AI-powered ranking and bidding systems for digital advertising

  • Define and own the direction of data science models for our new adtech products to ensure they are built for our future needs 

  • 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.

Qualifications

Exceptional AI and ML Expertise:

  • Mastery of ranking models (eg neural ranking architectures, neural auction approaches, and cutting-edge approaches to personalisation and relevance).

  • Expertise in bidding algorithms, multi-objective optimisation, and reinforcement learning (RL) applications in advertising.

  • Advanced knowledge of AI frameworks (eg TensorFlow, PyTorch) and their application to real-time decision systems.

Advertising Domain Mastery:

  • In-depth understanding of ad auctions, ad exchange platforms, and auction dynamics.

  • Proven experience optimising CPC, CPA, and ROAS metrics for advertisers at scale.

Exceptional Data and Statistical Expertise:

  • Advanced proficiency in Python, SQL, and designing workflows for front-end tracking data.

  • Strong foundation in probabilistic modelling, causal inference, and statistical rigour in experimental design.

  • Ability to solve multi-objective problems, balancing metrics like revenue, engagement, and fairness.

Proven Leadership in AI Systems:

  • A track record of designing and deploying large-scale AI systems in production, with measurable business outcomes.

  • Experience influencing organisational strategy through actionable, data-driven insights.

  • A history of mentoring teams to achieve exceptional technical outcomes while driving alignment across engineering, product, and data organisations

Nice-to-Haves:

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

  • Contributions to open-source AI tools or publications in top-tier machine learning conferences.

  • Knowledge of calibration techniques (eg Platt scaling, isotonic regression) to ensure prediction reliability.

  • Familiarity with transformer-based architectures or graph neural networks for complex data interactions.

Additional Information

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re 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, Yoga, 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. Courses.

                

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d 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 experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

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CEO of Delivery Hero
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What You Should Know About Principal Data Scientist - Ad Tech, Delivery Hero

At Delivery Hero, we're on the lookout for a Principal Data Scientist - Ad Tech who is ready to drive innovation and empower local businesses across the globe from our vibrant headquarters in Berlin, Germany. As part of our Ad Tech data science team, you'll play a key role in revolutionizing the way restaurants and shops engage with customers through advanced technological solutions. Imagine designing cutting-edge models that enhance ad optimization and increase visibility for countless vendors! Your insights and expertise will be crucial in developing AI-powered ranking and bidding systems that not only maximize ROI for advertisers but also elevate user experiences across our platforms. This is more than just a job; it's an opportunity to lead transformative projects that shape the future of digital advertising on a global scale. You'll be surrounded by a team of creative minds working towards a shared vision of making every interaction meaningful. Plus, with our commitment to a healthy work-life balance and professional development resources, you’ll have the support you need to excel in your role and grow in your career. If you're eager to join a fast-paced environment where technology and creativity meet, we can't wait to welcome you aboard at Delivery Hero!

Frequently Asked Questions (FAQs) for Principal Data Scientist - Ad Tech Role at Delivery Hero
What are the main responsibilities of the Principal Data Scientist - Ad Tech at Delivery Hero?

The Principal Data Scientist - Ad Tech at Delivery Hero is responsible for driving innovation within the advertising technology space. This includes designing and deploying advanced models for ad ranking and bidding systems that enhance ad visibility and improve ROI for advertisers. You'll lead the creation of strategies to redefine auction dynamics, ensuring that all systems are aligned with the company's growth and profitability objectives.

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What qualifications are required for the Principal Data Scientist - Ad Tech position at Delivery Hero?

To excel as a Principal Data Scientist - Ad Tech at Delivery Hero, candidates should possess exceptional expertise in AI and machine learning, particularly in ranking models and bidding algorithms. A strong background in Python and SQL, along with experience optimizing CPC, CPA, and ROAS metrics, is crucial. Moreover, a solid grasp of ad auctions, causality inference, and leading large-scale AI systems will contribute to success in this role.

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How does the Principal Data Scientist - Ad Tech contribute to the growth of Delivery Hero?

By leading the development of advanced ad tech tools and systems, the Principal Data Scientist - Ad Tech directly contributes to generating revenue and enhancing the visibility of our partners within Delivery Hero's ecosystem. Your role in optimizing advertising strategies not only drives growth for local businesses but also solidifies Delivery Hero's position in the marketplace, helping the company achieve its profitability goals.

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What kind of projects can I expect to work on as a Principal Data Scientist - Ad Tech at Delivery Hero?

In the role of Principal Data Scientist - Ad Tech at Delivery Hero, you can expect to work on high-impact projects that utilize AI to introduce potential customers to new food options and enhance the visibility of advertisers. You'll be developing models for ad auction dynamics, leading innovative strategies, and creating data-driven solutions that pave the way for significant operational and revenue improvements for local businesses.

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What benefits does Delivery Hero offer to the Principal Data Scientist - Ad Tech?

Delivery Hero offers a comprehensive benefits package including a hybrid working model, generous holiday entitlement, and funding for professional development. Employees benefit from an array of wellness options such as health check-ups, fitness subsidies, and meal vouchers, ensuring a thriving work environment that promotes both personal and professional growth.

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Common Interview Questions for Principal Data Scientist - Ad Tech
Can you describe your experience with AI and ML models in advertising?

In answering this question, highlight specific AI and ML projects you’ve worked on, particularly those related to advertising. Discuss the types of models you designed, such as neural ranking or bidding algorithms, and the impact they had on optimizing advertising performance. Be prepared to share both technical details and the results achieved.

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What methodologies do you use for optimizing CPC, CPA, and ROAS?

When responding to this question, detail the frameworks and methodologies you apply for optimizing these key advertising metrics. Discuss your experience with A/B testing, multi-objective optimization, and any statistical techniques that support decision-making in advertising campaigns.

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How do you stay current with developments in AI and advertising technology?

Here, focus on your commitment to continuous learning. Mention following industry leaders, participating in conferences, or reading research papers. Highlight any courses, webinars, or workshops you've attended that have enhanced your skills and knowledge in AI and advertising technologies.

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Can you provide an example of a successful ad tech project you've led?

Use this opportunity to showcase a project that had significant results. Describe your role, the challenges faced, the solution you implemented, and the measurable outcomes. Be specific about how the project demonstrated your leadership skills and technical expertise.

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How do you approach building a cohesive data science team?

Discuss your management philosophy and how you foster collaboration and innovation within your team. Provide examples of how you've mentored team members, encouraged diverse viewpoints, and aligned team efforts toward common goals in previous roles.

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What challenges do you foresee in optimizing ad auction dynamics?

In your response, demonstrate your understanding of the complexities involved in ad auctions, such as fluctuating demand and competition. Discuss potential strategies to overcome these challenges and how you would implement these solutions using data-driven insights.

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Describe your experience with Python and SQL in developing data-driven solutions.

Provide specific examples of projects where you utilized Python and SQL to solve complex problems related to data analysis or model deployment. Emphasize your proficiency with libraries like Pandas, NumPy, or any relevant frameworks to handle large datasets.

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How would you evaluate the effectiveness of an ad tech product?

Discuss various evaluation metrics you would consider, such as user engagement rates, revenue growth, and customer feedback. Explain how you would implement A/B testing and utilize data analytics to assess product performance and inform future updates.

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What is your experience with reinforcement learning in advertising applications?

Share your understanding of reinforcement learning principles and how you’ve applied them in advertising contexts. Discuss specific projects or models where you utilized reinforcement learning to improve ad performance and user experiences.

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How do you balance business objectives with ethical considerations in data science?

Explain your philosophy on responsible data use, emphasizing the importance of ethical considerations in model development and deployment. Discuss how you would foster a culture of responsibility within your team while still achieving business goals.

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Our mission is to deliver an amazing experience, fast, easy, and to your door.

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Full-time, hybrid
DATE POSTED
December 30, 2024

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