data scientist - data intelligence team

Data is at the core of PriceHubble. We process a wide variety of data from multiple sources. As a data scientist in the data-intelligence team, you will have three main missions:To augment the data we have via machine learning prediction.To develop techniques to measure, assert, and improve the quality of the data we have.To develop matching algorithms for linking data from heterogeneous sources.As a data scientist, you are highly motivated by the following questions:Before doing standard machine learning, how do I build a strong labeled data set from scratch?Garbage in = garbage out; then how do I measure the quality of labels in a data set? How do I improve upon this when I have very few labels to start with?How can I go from no labels to the point where state of the art Machine-Learning can finally be leveraged?These questions are, in our opinion, the new frontier in data science. You will be joining a team that specializes in this topic, with advanced experience in crowd-sourcing, matching problems, ensembles modeling, and statistical estimation. Our technologies and tools are just getting started; feeling excited about it? Want to be part of the adventure? Hop in!ResponsibilitiesApply machine learning methods to augment data-sets.Develop and improve models for cross-linking heterogeneous data sources.Analyse and detect problems in our estimators.Correct blind spots in our data-labelling.Deploy, validate, and fine-tune crowd-sourcing jobs for acquiring labels.RequirementsMSc or PhD in Computer Science, Applied Mathematics, or related fields; with strong experience in machine learning and/or data science.In-depth understanding of basic data structures and algorithms.Strong analytical skills with the ability to collect, organise, and analyse significant amounts of data with attention to detail and accuracy.Strong programming experience with Python, and ability to write quality production code.Experience with ETL and data processing tools (pandas, airflow, PySpark) is an advantage.Experience with standard ML frameworks (sklearn, tensorflow, pytorch, etc.) is also a plus.Comfortable working in English; you have a great read and good spoken command of it.We are interested in every qualified candidate who is eligible to work in the European Union but we are not able to sponsor visas.On top of joining a team of ambitious, qualified people, you may also enjoy our benefits:Casual dress codeL&D programWell-located officesFree snacks, fruits, coffee, beers, sodas #J-18808-Ljbffr