Senior Data Scientist (consumer discovery)
Berlin, Germany
Delivery Hero
Delivery Hero - Always delivering an amazing experience.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 Senior Data Scientist to join the Consumer Discovery tribe on our journey to always deliver amazing experiences.
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.
We provide cutting-edge Search and Recommendation services across all our platforms, impacting millions of users worldwide. Our search functionality spans more than 60 countries and 35 languages, facilitating over 80 million searches daily across four continents.
Develop and Optimize Search Algorithms: Enhance and research new search machine learning algorithms for semantic search, query understanding, and personalization, to deliver the most relevant results to our users.
Collaborate Across Teams: Work as part of a cross-functional team, including Backend Engineers and Data Engineers, to improve our global search end-2-end. Work closely with product managers to find the best solutions for our customer’s problems.
Analyze and interpret large datasets: Extract meaningful insights to understand relevance problems and communicate them to stakeholders.
Innovate and Experiment: Identify and apply the best machine learning and statistical methods to solve complex problems, ensuring solutions are scalable and effective in production environments.
- Navigate Ambiguity: Take a lead in tackling ambiguous business problems, ensuring clear problem definitions, translating them into data science projects.
Qualifications
Experience: Master’s degree (or Bachelor’s with 6+ years of work experience) in a quantitative field such as Computer Science, Mathematics, Physics, Theoretical Chemistry, or similar. 4+ years of experience as a data scientist applying science on complex business problems.
Technical Expertise: Proficiency in SQL and Python and its ML ecosystem is essential. Experience with Java and Scala is a plus.
Machine Learning Knowledge: Strong understanding of a wide variety of ML and statistical methods, including Classical ML, Deep Learning, NLP, and Recsys. Ability to discern the most suitable approach for different problems.
Search and Ranking ML Algorithms: Hands-on working experience with search machine learning algorithms, such as learning to rank, semantic search, and personalization.
Problem-Solving: Comfortable with ambiguity and capable of navigating it to define clear data science problems and solutions. Strong analytical and problem-solving skills with a focus on delivering practical solutions.
- Collaborative Spirit: Proven experience working in cross-functional teams, contributing effectively to joint projects and achieving common goals. Excellent communication skills to articulate complex ideas and influence stakeholders.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Chemistry Computer Science Deep Learning Java Machine Learning Mathematics NLP Physics Python Research Scala SQL Statistics
Perks/benefits: Career development Equity / stock options Insurance Yoga
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