Senior Data Scientist - (Logistics, Workforce)

We build. We deliver. We lead.

We build the world's largest on-demand delivery platform.

We are an international community of entrepreneurs at heart who are passionate problem solvers.

We enable ambitious talent to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt.

This comes with a growth opportunity across the most exciting corners of the world. No matter where you're from or what you believe in, we build, we deliver, we lead.

We are Delivery Hero.

Who we are

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.

• About the opportunity
• 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.