Data Scientist (Global Ranking)

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 Data Scientist to join our GlobalRanking and Recommendations domain and help us enhance our user experience and with that help our customers easily discover new products and vendors. If you’re a creative problem solver who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

At Delivery Hero, you’ll shape the global consumer experience for millions of users. Your work will have a direct impact on how we attract and retain customers, creating data-driven, personalized interactions that keep them coming back. As part of our Consumer Team, you’ll enhance customer satisfaction and drive global growth and profitability through innovative projects.

• Deep dive into our data to generate insights about our customers, our products and our existing recommendation techniques. 

• Develop new data products from conception to production to help optimize our recommendation systems and improve the experience for our customers.

• Transform fuzzy/high-level requirements and objectives to solvable problem statements and requirements

• Collaborate with Senior Data Scientists, Product Specialists, and user experience squads to understand business processes, identify data and solution requirements.

• Work with Data Engineers / MLOps to optimize and deploy your models.

• Scale up your algorithm to provide business value in dozens of countries globally supporting multiple brands and millions of customers. 

• Help defining data needs to further improve existing algorithms. 

• Work with structured and semi-structured data from different data sources (BigQuery, PostgreSQL etc and many more).

• Contribute and make an impact in a global, fast-moving tech organization.

Qualifications

• You have at least 3 years of experience applying methods from Machine Learning and Statistics to real-world datasets.

• You excel at modeling business problems using machine learning techniques covering feature engineering, model selection and design as well as evaluation and optimisation to deliver value to the business.

• You can write maintainable code that follows best practices in Software Engineering and effectively software versioning with Git.

• You are eager to put your models to production to get real customer feedback as soon as possible. 

• You have the ability to understand a business problem and translate, structure it into a data science problem. 

• Fluency in Python and familiarity with its scientific stack such as numpy, pandas, scikit-learn, matplotlib.

• You have previous experience building recommendation or ranking systems. 

• You have experience with experimentation with different approaches through an AB testing methodology and offline evaluation 

• You know how to write a SQL query to pull the data you need.

• Fluency in English. 

Nice to have:

• You have experience solving problems related to offline evaluation and monitoring recommendation & ranking systems.

• Experience deploying complex models to serve live traffic and collaborating with ML engineers in creating efficient systems that integrate ML models following good MLOps practices.

• Practical experience and knowledge of Deep Learning models & NLP techniques.

• You know how to make your code run in a container and are enthusiastic about running it in modern infrastructure environments like Kubernetes. 

• Knowledge of GCP and cloud in general.

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.