at Delivery Hero
Full TimeAs 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, 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 an (Associate) Data Scientist - Logistics, Rider (all genders) to join our team to help us create a fast, reliable and transparent delivery experience.
You will join the new Data Science squad in the Deliveries tribe, a team set up to support all aspects of the rider journey during their day-to-day tasks with a focus on the last 100 meters of delivery. Together with your team you will work on projects ranging from providing accurate route information, and location pings, improving the ease of identifying partner and customer locations, and developing fraud detection models. We pride ourselves on our ability to connect research and theory to practical problems, and to bring our solutions to production systems. The squad is supported by an amazing squad of ML engineers who build reusable tooling to allow our data scientists to focus on solving modeling challenges. We also integrate closely with product teams so that we keep connected to the needs of the organization.
If you are a creative problem solver who is hungry for a new adventure, a diverse, international and inclusive workplace is waiting for you in the heart of Berlin!
Conceptualize the right modeling approach for challenges in the field of Logistics at scale together with your squad lead and our stakeholders, using cutting-edge research to inform your decisions.
Build solutions end-to-end from inception to production-grade systems - including research & prototyping, gathering data requirements, cross-team alignment, product development, experimentation, deployment and monitoring.
Work on projects centered around experimental design and A/B testing, fraud modeling, and location denoising, and make an impact in a global, fast-moving tech organization delivering more than 5 million orders each day.
Provide ideas in brainstorming sessions with your Data Science colleagues to solve the toughest modeling problems together. Pitching new ideas and improvement proposals to non-technical stakeholders.
Help defining data needs to further improve existing projects, to support data engineering and tech teams in planning their roadmap.
You speak fluent Python, and are familiar with its scientific computing stack such as NumPy, Pandas, Scikit-learn, Matplotlib, etc. Other languages are a bonus!
You write clean, maintainable code following best-practices, and know how to make your code run in a container for reusability and cloud deployment.
You are fluent in SQL, and know how to work with large-scale datasets on platforms like Google BigQuery or Amazon Redshift.
You have experience with a range of software engineering tools including Git, Docker, cloud technologies like GCP or AWS, Kubernetes and Airflow.
You have prior experience applying machine learning or statistical methods to real-world datasets, and a proven track record of delivering data science solutions to production systems.
You have a strong sense of responsibility and desire to run software for millions of users: we build it, we run it.
You have an eye for detail. Before starting to work on a use-case, you carefully challenge existing assumptions and care about clean data.
You are a strong communicator, and can explain the intuition behind your modeling approach to people with both technical and non-technical backgrounds.
Nice-To-Haves
Prior exposure to location data (GPS pings, maps, geographical shapes, etc.), and geospatial modeling.
First-hand experience with large-scale problems in the logistics or e-commerce industries.
Hands-on experience planning, carrying out, and analyzing results of A/B tests.
Experience deploying complex models to serve live traffic.
At Delivery Hero, 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. Just be yourself and we can’t wait to see what value you bring to the role. We're as interested in your character as we are in your talent.
