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.
Responsibilities
- 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.
Requirements
- 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, Pandas, Scikit-learn, Matplotlib, Plotly etc.
- You can transfer business problems from a problem space to a technical solution space.
- Experience in solving regression and classification-type 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 BigQuery/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.
Conditions
- Hybrid working model: join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week.
- 27 days holiday with an extra day on 2nd and 3rd year of service.
- Support in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform.
- Health Checkups, Meditation & Gym.