Data Scientist - Routing & ETA in Otopeni

Your daily adventures will include: Working with a technical stack consisting of Python, Docker, SageMaker, Airflow, DataBricks Solving real world problems using gradient boosted trees, deep learning, clustering algorithms and more in order to enhance the quality of the maps we use and provide high quality services to our customers globally Handling the entire lifecycle from exploratory queries and notebook prototypes to building production solutions and pipelines Leveraging our in-house model lifecycle platform that allows you to launch new projects in a matter of days Working in product feature teams together with data analysts, product managers and software engineers Discussing the problems and technical innovations within the broader data science team that provides a pool of peers and mentors We are looking for: Industry experience in data science and machine learning (3+ years recommended) Awareness of both business and technical aspects of data science Experience in Python programming, including libraries like Pandas, Numpy, sklearn Understanding and practical experience with statistical hypothesis testing Proactive mindset, willingness to take initiative and work with little supervision Hands-on experience with most used methods for dimensionality reduction, clustering algorithms, rankers, regressors, classifiers, etc (PCA, k-means, DBSCAN, Spectral Clustering, Learning-to-rank approaches, gradient boosted trees, deep neural networks, SVM, linear/logistic regression and others) Enthusiasm to collaborate with different roles in product, analytics and engineering to identify problems, explore trends and discover growth opportunities Strong verbal and written communication skills in English Track record of deploying models to production and measuring the impact You will get extra credits for: Product development experience in a technology company Familiarity with any cloud systems (AWS, Azure, Google app engine) PhD in a quantitative field Experience with mapping related aspects and tools (OSM, OSRM) and, generally, with classic graph algorithms Why you’ll love it here: Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 500+ cities across 45 countries. Make your mark at one of the fastest-growing organisations in Europe. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth and enjoy unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy health care coverage, extra vacation days, and plenty of other perks to help you be the best you!