Each day, we retrieve data for more than 500 cities worldwide and add over 50 million rows to our database. In close cooperation with our engineers, the Data Science team works to identify urban mobility patterns, extrapolate near-future trends, and infer practical insights for our clients. The job is difficult because we combine data feeds from different sources of various quality, and yet devise general solutions to be deployed in any city, in any context. As a startup, time is always short for us. Thus, the work is fast paced, highly iterative, and continuously trading off between what will work for today and what is best for tomorrow.
Faced with a new problem, we start with a humble and careful observation of the data at hand. We then proceed to using statistical models, machine learning, and neural network algorithms. Finally, we come to a close when a generic approach is reached that is statistically rigorous and precisely relevant for our customers.
Along with our engineers and data scientists, you will work to build data-driven products and solutions. If you enjoy working with real-world data to solve actual problems in creative ways, you will fit right in.
Exploring and applying cities’ data to design new products and provide new insights to our clients.
Develop training and cross-validation data sets for machine learning algorithms
Conceive and implement experiments to test data, models, and/or products
Translate engineering and business queries into tractable data science questions
Perform in-depth data analysis, using statistical and machine learning techniques, to creatively build predictive models
Iterate rapidly on everything. All of the above happens in a relatively fast-paced business-driven environment, so you must be comfortable with rapid iteration
SKILLS & QUALIFICATIONS
MSc. in Data Science
Good programming knowledge of Python and its libraries
Autonomy, flexibility and ability to communicate your ideas
SQL, PostgreSQL preferred
Data visualization skills
Some prior, practical experience working with large datasets is a major asset
Our office is located in the close suburb of Bordeaux, in Bègles, in an incubator for eco-friendly technology companies that is 15 minutes away from the Bordeaux Saint-Jean train station.
Free coffee, cakes, and whatever keeps you working (and yes, we do have cookies).
To apply send us your CV at email@example.com and explain us why we should take you in.