Job Description
We are seeking a Director, Data Science, AdTech Statistical analysis to lead statistical analysis and analytics in the Vendor Data team shaping the future of data-driven decision-making at Delivery Hero. In this role, you will drive analytical excellence, influence strategy, and develop cutting-edge methodologies to enhance the success of thousands of vendors - restaurants, shops, and local businesses - across our platform.
As a senior leader within the Vendor Team, you will be instrumental in explaining and optimising our Ad Tech products as well as leveraging advanced analytics to improve sales operations & the vendor platform. Your insights will directly impact our AdTech ecosystem, helping vendors maximise visibility, enhancing conversion rates and driving revenue growth.
Operating in nearly 70 countries, our AdTech infrastructure connects millions of businesses with their ideal customers daily. With AdTech projected to generate over €1 billion in revenue in 2024/25, your leadership in data and statistical analysis will be critical in shaping our profitability strategy and advancing our market position.
* Define and implement the analytical vision for vendor data, ensuring insights drive measurable business impact.
* Oversee the development of cutting-edge statistical models to optimise ad placements, vendor pricing strategies, and vendor engagement.
* Manage the development of robust A/B and multi-armed bandit testing frameworks, leveraging methodologies such as propensity score matching, synthetic control, monte carlo simulation, and structural modeling to determine business impact ensuring statistical robustness.
* Foster an environment of investigation, fairness and evidence-driven decision making within the vendor data organisation.
* Drive high-profile initiatives with product, commercial, and engineering teams delivering a global impact.
Qualifications
* 8+ years professional experience leading high-performing analysis teams applying statistical methods in domains such as ad tech, economics, or digital marketplaces with a pragmatic approach.
* A master’s degree in mathematics, physics or similar ideally with a focus on probability and statistics.
* Technical competency from a history as an individual contributor working in Python and SQL using Pandas, NumPy, and statistical libraries (eg statsmodels, Scipy)
* Expertise in managing and modelling high-volume data in the cloud.
* Clear and concise communication with experience discussing complex statistical topics with leadership.
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 leadin 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.