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 :
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 (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
Experience writing complex SQL queries
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 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)
Ph.D 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.
We don’t care where you work from, as long as you get the job done!
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!