We’re looking for brilliant, creative, ambitious, fun-loving engineers and data-scientist. If you’re all that and looking to lead, invent and grow professionally you should definitely consider applying to join us on our journey!
We are looking for experienced, savvy, data scientists to lead and execute machine learning projects in a wide range of industries (retail, banking, media, manufacturing) and domains (demand forecasting, NBO, content classification, …)
Work with clients in a consultancy fashion to size business problems and how a data-driven scientific approach can be used to address them
Coach and guide our team on best practices and approaches for building scalable, lasting data-science solutions
Model training, tuning and performance evaluation using the latest tools and methods
Evaluate technologies, define data pipeline and processing architectures to allow us to scale machine learning initiatives across our client base
At least 8 years experience with data science projects from early stage concept to production rollouts.
Broad knowledge of data science modeling techniques (from RandomForests to RNNs and anything in between) and their use within the industry
Hands on experience with data science packages (TensorFlow, scikit, pyTorch) and tooling (Jupyter notebooks, Anaconda, Vega, ..)
Experience in large scale training and model evaluation at an enterprise environment
Big Advantage: Experience with Cloud Machine Learning Platforms (Google ML Engine, AWS SageMaker) and/or commercial tools (DataRobot, BigML or others)