We are looking for a Manager Data Science, Location (f/m/d) to join our growing Location tribe! Our Location Platform makes the world’s addresses and places discoverable in hyper 3D accuracy. We build solutions that can make it seamless to set your delivery location, find a nearby restaurant, a place to pick-up your groceries, and also enable our riders to deliver items to your doorstep fast and efficiently.
Our mission is to deliver location-based solutions, powered by data, for all our customers, globally. We aim to be THE global geospatial platform enabling amazing delivery experiences.
It starts with a pin on the map, each pin is an opportunity and a market that we explore to be able to serve our customers better. So, would you like to be part of a consumer facing platform that enables many Delivery Hero brands, including and not limited to FoodPanda, Foodora, Damejidlo and Netpincer to service millions of customers every day?
If you are someone who thrives on helping and growing teams of the most brilliant minds in the market, living with the fact that your success is the team’s success and want to take your career one step further, an international workplace is waiting for you in the heart of Berlin.
Build and lead strong multidisciplinary team of Data Scientists, Machine Learning Engineers and Data Engineers
Understand our diverse datasets and find interesting patterns in it to drive amazing customer experiences.
Setup the team for success by creating a long term vision, a mid term strategy and several short term roadmaps towards some of the most complex and interesting data problems.
Work cross-functionally with engineering, data science and product to develop best practices and execute against a multi-year roadmap
Setup our mapping framework in order to serve on a global scale.
Collaborate with other teams in and outside the tribe to provide the best customer experiences for our customers.
Develop new data products from conception to operationalization.
Help defining data needs to further improve existing projects, to support data engineering and tech teams in planning their roadmap
Contribute and make an impact in a global, fast-moving tech organization
You have experience in applying methods from machine learning, operations research and/or statistics to real-world datasets.
You are capable of managing complex projects with multiple stakeholders and ideally have a successful track record of managing Data Science teams.
You are a strong communicator and are able to filter down requirements coming from many stakeholders to the ones that make an MVP. Ability to convert a fuzzy business problem into a data science problem.
Before starting to work on a use-case, you carefully challenge existing assumptions and care a lot about clean data
Fluency in Python and familiarity with its scientific stack such as numpy, pandas, scikit learn, matplotlib, pytorch, keras.
You can write maintainable code and know how to make your code run in a container so it becomes easily reusable for others.
Great communication skills and ability to influence beyond the team
Fluency in English.
Nice to have:
You know about A/B testing and are able to discern signals from noise when it comes to estimating the effect of new models.
You know how to work with Big Data and are fluent in SQL.
Experience of having solved a similar problem in the food or ecommerce domain will be highly desirable
Experience of building large scale mapping frameworks is an added advantage.