Master Degree in a related field with 11 years of professional experience in IT.
+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 NLP/ML libraries (SpaCy, NLTK, scikit-learn, pandas).
Requirements:
Development and maintenance of NLP/ML/AI software applications.
Training of custom ML/DL models based on structured and unstructured data.
Selecting features, building and optimizing classifiers using machine learning techniques.
Interact with data stewards and other IT stakeholders to define the data rules.
Job description
This is a remote position.
For one project at a European Institution in Belgium, we’re currently looking for a Full Remote (Senior) Data Scientist.
Candidates need to be based in Europe and have a workpermit. EU Candidates need to be fluent in English. This position is open for employees and freelancers.
Tasks and responsibilities:
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;
Profile:
Master Degree in a related field with 11 years of professional experience in IT.
+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;
