Senior Scientist, Maps

Senior Scientist, Maps Department: Data Science Team: Data Scientist Location: Amsterdam, Netherlands Type: Full-Time **About the Team** The Uber Maps team is at the forefront of advancing Uber’s geospatial technologies, crucial for driving the efficiency and reliability of Uber services. We work across a diverse array of problem domains, including: curating and improving precision of location (i.e. ‘Places’) data, developing cutting-edge location search algorithms for each Rides pickup/dropoff and Eats delivery, building base maps and correcting map errors, as well as optimizing routes and travel time predictions, and more. These pivotal technologies are the backbone of every decision made in our marketplace, influencing dispatch and pricing strategies directly. If you're passionate about driving innovation and have relevant experiences in tech or marketplace settings, we sincerely welcome you to join our team and shape the future of Uber's geospatial technologies together. You can learn more about our team from: 1. [Fixing Map Errors with GPS Data](https://eng.uber.com/mapping-accuracy-with-catchme/) 2. [What’s my ETA? A Billion $ question](https://youtu.be/FEebOd-Pdwg) 3. [Rethinking GPS: Engineering Next-Gen Location at Uber](https://eng.uber.com/rethinking-gps/) 4. [Enhancing the Quality of Uber’s Maps with Metrics Computation](https://eng.uber.com/maps-metrics-computation/) 5. [Applying Customer Feedback: How NLP & Deep Learning Improve Uber’s Maps](https://eng.uber.com/nlp-deep-learning-uber-maps/) **What you will do** 1. Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives. 2. Build statistical, optimization, and machine learning models for strategic insights as well as in production enhancements to the maps products. 3. Design and analyze experiments, present results that provide actionable recommendations. 4. Orient our teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic