We are building a top European data science team focused on urban mobility and are looking for exceptional people to join as one of the senior members of the team. You will enjoy an opportunity to use your creativity in algorithm design and apply cutting-edge technologies to develop models, automate and optimize data-driven decisions and enable the entire organization to tap into the value of ML technologies. We partner with people from strong technology companies and computer science institutes.Some examples of real life projects we work on:1. Using sensor data to understand whether our clients are tandem riding (two users riding at the same time one scooter, which is prohibited in many cities and poses danger to themselves and pedestrians)2. Enhancing the positioning accuracy of our scooters using a wide set of approaches, including collaborations with university research labs3. Simulating real-life conditions and building components such as intra-day transition models, scooter demand forecasting, etc to understand where to deploy our scooters in order to optimise for utilization4. Building constrained scooter clustering models and schedules for our operations fleet in order to optimise their work5. Dynamic location-based pricing optimization to increase scooter utilization Your daily adventures will include: Working with a technical stack consisting of Python, Docker, SageMaker, Airflow, Spark, Redshift Working with sensor data, deploying ML on the Edge so the models can be run straight on the scooters. For this, you will also be working with the hardware/IoT team Solving real world problems using gradient boosted trees, mathematical optimisation, time series forecasting, signal processing, deep learning and more Handling the entire lifecycle from exploratory queries and notebook prototypes to a working machine learning model or other automation that might be serving thousands of calls per second in production Leveraging our in-house model lifecycle platform that allow 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, OR-tools Understanding and practical experience with statistical hypothesis testing Proactive mindset, willingness to take initiative and work with little supervision Hands-on experience with common methods for dimensionality reduction, clustering algorithms, rankers, regressors, classifiers, signal processing concepts, etc (PCA, k-means, DBSCAN, Spectral Clustering, gradient boosted trees, deep neural networks, SVM, linear/logistic regression and others) Experience with IoT concepts / ML on the Edge solutions 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, MSc or BSc in a quantitative field Experience with complex experimentation / simulation scenarios Hands-on experience with state estimation using e.g. sensor fusion approaches Why you’ll love it here: Your daily duties will have a meaningful impact on millions of people all over the world. You’ll be surrounded by the most friendly, supportive colleagues you can imagine. As we grow, so will you! Bolt’s fast-paced, challenging environment offers you great opportunities for professional development. You’ll always be kept informed. Our bi-weekly All Hands meetings bring our global teams together, ensuring we’re all up to speed and moving forward as one. Switching off is important! At Bolt, we like to work hard and play hard. Enjoy our fun team events, office snacks, free merch and more!
Senior Data Scientist, Rentals in Bucuresti
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