Senior Data Scientist - (Logistics, Workforce)

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.

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. 

• You have at least 3 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.

• 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.

• 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

• 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

• 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

• Look up and go for it. We will support you in developing yourself and your career: 1.000 € Educational Budget, Language Courses, Parental Support

• 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, Online Canteen, Corporate Discounts

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] it in your application.

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.