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; Fluent in English; Interested: Please forward your resume to [email protected] 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; Fluent in English; Interested: Please forward your resume to [email protected]

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: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);

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;

Training of custom machine learning / deep learning models based on structured and unstructured data;

• Selecting features, building and optimizing classifiers using machine learning techniques;

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;

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;

Interact with data stewards and other IT stakeholders to define the data rules;

• Creating automated anomaly detection systems and constant tracking of its performance;

Creating automated anomaly detection systems and constant tracking of its performance;

• Data mining using state-of-the-art methods;

Data mining using state-of-the-art methods;

• Processing, cleansing, and verifying the integrity of data used for analysis;

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;

Design the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts;Profile:Profile:​​

• Master Degree in a related field with 11 years of professional experience in IT.

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;

+3 years of professional experience in the domain as a Data Scientist;

• Experience in Machine Learning and Natural Language Processing;

Experience in Machine Learning and Natural Language Processing;

• Excellent knowledge of Perl, Python, Matlab, R and its NLP/ML libraries (SpaCy, NLTK, scikitlearn, pandas);

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);

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 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 NoSQL databases, such as MongoDB, Cassandra, HBase, etc;

• Knowledge of data visualisation tools, such as D3.js, GGplot, etc;

Knowledge of data visualisation tools, such as D3.js, GGplot, etc;

• Good knowledge of AWS and/or Azure;

Good knowledge of AWS and/or Azure;

• Good knowledge of Linux;

Good knowledge of Linux;

• Good knowledge of Unix and Bash;

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.

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.

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 in the field of corpus based linguistics;

• Experience with alignment models and classification methods;

Experience with alignment models and classification methods;

• Good knowledge of natural language processing systems lifecycle and agile software development methodologies;

Good knowledge of natural language processing systems lifecycle and agile software development methodologies;

• Fluent in English;

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