We are building a top European data science team focused on urban mobility and are looking for exceptional people to join our 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:- Balancing demand and supply through algorithmic pricing- Optimising the potential investment portfolio over markets and product lines- Processing documents at scale through computer vision and OCR- Using recent traffic patterns for predicting accurate ETAs- Inferring missing map elements using the GPS traces of our drivers- A/B experimentation platform and agent-based simulation of cities- User behavior pattern analysis and prediction Your daily adventures will include: Working with a technical stack consisting of Python, Docker, SageMaker, Airflow, Spark, Redshift Solving real world problems using gradient boosted trees, uplift modelling, mathematical optimisation, time series forecasting, recommender systems, deep learning and more Translating business problems to technical specifications 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 data and model 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 Deploy and validate solutions for millions of users, enabling fast feedback and measurable added value to customers We are looking for: Industry experience in data science and machine learning (5+ years recommended) Awareness of both business and technical aspects of data science Experience in Python programming, including libraries like Pandas/Numpy/sklearn/OR-tools Experience writing complex SQL queries Understanding and practical experience with statistical hypothesis testing Proactive mindset, willingness to take initiative and work with little supervision Enthusiasm to collaborate with different roles in product, analytics and engineering to identify problems, explore trends and untap 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 Experience with experimentation or simulation Experience with causal inference from observational data Familiarity with any cloud systems (AWS, Azure, Google app engine) PhD, MSc or BSc in a quantitative field 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 in Bucuresti
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