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About the Role

Lead a squad of 4 to 7 data scientists and ML engineers, taking full technical ownership and accountability for delivery. 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. Reinvent online shopping by building a scalable product ecosystem that optimizes operational processes and enhances user experience.

Responsibilities

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.

Requirements

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.

Skills

Machine learning
Causal inference
A/B testing
Statistical evaluation
Python
NumPy
Pandas
Scikit-learn
SQL
Forecasting models
Time-series analysis
Cloud platforms (GCP, AWS)
Modern infrastructure tools

Location

Berlin, Germany

Work Type

Hybrid

Experience Level

Manager

Benefits

27 days holiday with an extra day on 2nd and 3rd year of service
1.000 € Educational Budget
Language Courses
Parental Support
Access to Udemy Business platform
Health Checkups
Meditation & Gym
Employee Share Purchase Plan
Sabbatical Bank
Public Transportation Ticket Discount
Life & Accident Insurance
Corporate Pension Plan
Digital Meal Vouchers
Food Vouchers
Support with relocation to Berlin

About the Company

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.

Equal Opportunity

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.