What we do We build a bleeding-edge predictive marketing platform on top of open-source technologies such as React, Play/Scala, Spark, elasticsearch, Docker, python, numpy, scikit-learn...
Our software stack is natively designed for cloud and deployed on AWS and other cloud providers. We focus on using all those ecosystems for what they do best. We ingest petabytes of data, and run dozens of powerful and carefully designed Machine Learning algorithms to bring value to our customers. It relies on an industrialized, automated and highly configurable platform, using advanced visualizations to help its operation.
As we believe methodology excellence helps to build a better product for our clients in a sustainable way, we currently work using agile methods, kanban boards, and recurrent internal tech events to share knowledge.
What you will do Embedded in the Data Science Tools team: You will help us build the platform that runs and operates all the ML algorithms in production You will work hand in hand with data-scientists, ML engineers, data-ops to improve our platform and deliver rich insights from the data we manipulate
You will play with some of the sexiest piece of technologies available (react, d3, play/scala, machine learning...), and help going even one step further You will participate in our initiatives of knowledge sharing and continuous quality improvement.
You will be at the heart of a fast-paced, forward-thinking company building word-class technology Who are you You are currently a full-stack & dataviz software engineer or wish to become one. These assertions should not frighten you : You have practical knowledge, experience or strong interest in building a solid, beautiful, useful and easily refactorable front end applications.
Since our product and tools use browser side technologies, you should have knowledge in the corresponding idioms. You like manipulating data, and find a way to visualize it in a meaningful way for the users, even when you have to deal with abstract matrices and mathematical metrics.
You have practical knowledge, experience or strong interest in manipulating data structures, algorithms, and backends to build data-centric applications while being easily refactorable, easily deployable, monitorable and resilient You work easily with agile concepts (user stories, sprints) and best practices (peer review, pair programming…)
You have a passion for shipping quality/tested/performant code : all around testing, TDD, continuous integration, continuous deployment, devops… You have great communication skills and fit well within a team You have no fear to challenge benevolently others' work or to be challenged on your own
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