Data Scientist

• Development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI).
• Training of custom machine learning / deep learning models based on structured and unstructured data.
• Selecting features, building and optimizing classifiers using machine learning techniques.
• Follow studies and developments aiming at improving the quality of machine translation (MT) engines for each installed language pair.
• Interact with data stewards and other IT stakeholders to define the data rules.
• Creating automated anomaly detection systems and constant tracking of its performance.
• Data mining using state-of-the-art methods.
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Design the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts.

Requirements

• Master Degree in a related field with 11 years of professional experience in IT.
• More than 3 years of professional experience in the domain as a Data Scientist.
• Experience in Machine Learning and Natural Language Processing.
• Excellent knowledge of Perl, Python, Matlab, R and its NLP/ML libraries (SpaCy, NLTK, scikitlearn, pandas).
• Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL).
• Knowledge of query languages, such as SQL, Hive, Pig, etc and experience with information extraction.
• Knowledge of NoSQL databases, such as MongoDB, Cassandra, HBase, etc.
• Knowledge of data visualisation tools, such as D3.js, GGplot, etc.
• Good knowledge of AWS and/or Azure.
• Good knowledge of Linux.
• Good knowledge of Unix and Bash.
• Excellent knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks.
• Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems.
• Experience in the field of corpus based linguistics.
• Experience with alignment models and classification methods.
• Good knowledge of natural language processing systems lifecycle and agile software development methodologies.
• Fluent in English at a level C2, optionally French at a level B2 would be an advantage.