DataRobot accelerates the process of building predictive models to get the most out of valuable data. We work hard to create tools that nascent data scientists can use effectively while also exposing the rich detail and control that data science veterans rely on.
Our headquarters is in Boston, with development offices in Kyiv, Lviv, Minsk, Munich, Copenhagen and Singapore.
As a Python Backend Engineer on our team, you will accelerate the process of engineering features to get the most out of multiple data sources and data types.
The people you will work with own the entire feature learning experience for DataRobot, and is responsible for making sure our feature discovery automation and resulting models are the best in the world.
You will build out Data Management and ETL system inside DataRobot utilizing distributed frameworks such as Spark, Hadoop and Kubernetes.
You will build scalable solutions to process high data volumes, with the main focus on crafting robust components for data intake, cleanup and full variety of data transformation.
You will also be responsible for designing and implementing features from start to finish, including clean and easy to use APIs, automated tests, and deployment infrastructure.
The ideal candidate can bring new ideas from concept to implementation, write quality, testable code, and participate in design / development discussions.
Main Requirements :
Candidates can distinguish themselves with the following criteria :