We are looking for a Senior Data Scientist to join our Logistics team to help create a fast, reliable, and transparent delivery experience. The role involves conceptualizing modeling approaches, innovating new solutions, and providing ideas to solve tough modeling problems. The ideal candidate has at least 5+ years of experience applying machine learning methods to real-world datasets.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job 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 looking for a Senior Data Scientist - Logistics, Workforce to join our Logistics team to help us create a fast, reliable and transparent delivery experience. You will make an impact in optimizing our on-demand last-mile delivery operations, involving hundreds of thousands of couriers and restaurants, improving the experience for millions orders per day in 70+ countries.
Your mission:
- Conceptualize the right modeling approach for challenges in the field of Logistics at scale, together with your squad lead and our stakeholders.
- Innovate new modeling solutions by drawing from fields like Machine Learning, Operations Research and Statistics that drive value for our business.
- Pair-program with your squad to engineer solutions that automate the retraining of models and generation of predictions.
- Provide ideas in brainstorming sessions with your Data Science colleagues to solve the toughest modeling problems together.
- Help defining data needs to bring value to the projects, collaborate with the data engineering and tech teams in planning their roadmap.
- Work with (semi-)structured data from our BigQuery DWH architecture and process with Spark where necessary.
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- You have at least 5+ years of experience applying methods from machine learning to real-world datasets.
- Fluency in Python and familiarity with its scientific/visualization libraries such as NumPy numpy, Ppandas, Sscikit-learn, Mmatplotlib, Pplotly etc.
- You can transfer business problems from a problem space to a technical solution space.
- Drive product growth by designing, executing, and analyzing rigorous A/B tests to ensure all platform changes are validated by high-quality statistical evidence.
- Experience in solving regression and classification-typeclassification type of problems with statistical, linear/non-linear models and ensemble models in particular (Random Forest/XGBoost/LightGBM/CatBoost).
- Experience with Time-Series Forecasting, Operations Research, and Statistics is an interesting addition
- You know how to work with Big Data platforms such as Big Query/Spark and know how to write a SQL query to pull the data you need.
- You can write maintainable code that follows best practices in software engineering.
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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 & 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.
- 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.
Interested in relocating to Germany? Check out our comprehensive Relocation Jobs in Germany page with detailed relocation packages and benefits.
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 inclusion@deliveryhero.com.
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.
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