Data Scientist / Data Engineer

Contenu de l'offre Data Scientist / Data Engineer chez Clustree

ENGINEERING PHILOSOPHY
We expect our software engineers to have a sharp mind, a strong curiosity to always learn new things, and the ability to think like a user. We feel that any excellent talent can be in the position to comment and contribute on absolutely anything, regardless of his or her role within the company. If you love complex issues and you have no fear to work hard to solve those issues with autonomy and ownership, we are made for each other.

RESPONSABILITIES
Use advanced technics (NLP) to extract semantic of textual data to build accurate normalized referential Build and improve tooling to handle large and structured data set Build and improve state of the art HR intelligence using ML, DL or algorithmic oriented technics (matching recommendations, personnalized ranking, white box justification etc.) Use customers behaviors and feedback patterns as a loop to improve overall relevancy Design scalable and friendly solution to evaluate a large range of HR intelligence Improve data acquisition, extraction and cleaning TECHNICAL ENVIRONMENT
Python Elasticsearch Scikit-Learn Tensorflow Spark Software engineering good practices (unit testing, code review) Requirements:
Deep knowledge of data acquisition, extraction, cleaning, indexing, modeling, normalization, enrichment Cluster Computing, Data Mining, Natural Language Processing Hands-on experience with Machine Learning, Deep Learning Experience with fast prototyping Interest in reading scientific papers and ability to implement state of the art algorithms Outstanding analytical and problem solving skills Native French and english speaking