Manager, Data Science, Dynamic Promo - Quick Commerce at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

18 Oct, 26

Salary

0.0

Posted On

20 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

People Management, Classical Machine Learning, Causal Inference, A/B Testing, Python, SQL, Statistical Evaluation, Technical Strategy, Stakeholder Management, Model Operationalization, Data Science Lifecycle, Mentoring

Industry

technology;Information and Internet

Description

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 around 65 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 push hard, learn quickly and stay human along the way. It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side. If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in. Job Description We are on the lookout for a Manager, Data Science, Dynamic Promo, to join Quick Commerce on our journey to always deliver amazing experiences. Be part of redefining how customers experience quick commerce. You’ll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you’ll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world. In this role, you will lead a squad of 4 to 7 data scientists and ML engineers, taking full technical ownership and accountability for delivery within your squad. You will work at the intersection of tech and product, translating complex business challenges into robust data science solutions and defining the technical strategy to drive growth through innovative promotional strategies. We are reinventing online shopping by building a scalable product ecosystem that optimizes operational processes and enhances user experience. Define and own the technical strategy and roadmap for the Dynamic Promo squad, ensuring alignment with business goals. Translate ambiguous business problems into well-defined technical data science items that your team can work on efficiently. Lead, mentor, and develop individual team members, fostering a culture of end-to-end ownership and technical excellence. Supervise the entire Data Science lifecycle, including model design, evaluation, operationalization, and performance monitoring. Proactively drive the application of classical ML and causal methods to improve business outcomes and promotional efficiency. Collaborate closely with product counterparts to prioritize high-impact solutions and conduct rigorous stakeholder management. Establish and maintain excellent operational practices for stability, performance, and cost-efficiency of products. Qualifications Extensive experience as a Data Science Manager with a proven track record as a people leader Deep theoretical and applied knowledge of classical machine learning and causal inference methods. Proven ability to proactively define technical strategy and bring structure to complex, unstructured problem spaces. Expertise in A/B testing methodologies and statistical evaluation to measure business impact. Fluency in Python and its scientific stack (numpy, pandas, scikit-learn, etc.) and proficiency in SQL. Experience in people management and mentoring, with a focus on developing talent and maintaining high engagement. Excellent communication skills in English, with the ability to summarize complex technical topics for diverse stakeholders. Nice to have: Experience with forecasting models and time-series analysis. Experience in e-commerce, retail, or fast-moving tech organizations. Knowledge of cloud platforms (GCP, AWS) and modern infrastructure tools. 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 & Gym. 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 and Food Vouchers. 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. Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters. 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 let us know with an email to our Inclusion Officer at [email protected]. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Responsibilities

Lead a squad of data scientists and ML engineers to define and execute the technical strategy for dynamic promotional strategies. Translate complex business challenges into robust data science solutions while overseeing the entire ML lifecycle from design to monitoring.