Data Scientist, Natural Language Processing

40hr/Full-time - Rotterdam, Netherlands or Remote

The one who makes sense of big data

We create state of art models that interpret professional human-written text into structured data and create unique products using it.

We are looking for a Data Scientist, with hands-on experience in Natural Language Processing, to reshape a Multi-Billion Dollar industry.

Responsibilities:

• You’ll be responsible for the full ETL circle of a complex AI solution
• Improve and design NLP models for classification and named-entity recognition problems.
• Create a strategic roadmap for the company in the domain of data science.
• Identify required data for future data models and collaborate with the IT team to develop data collection services.
• Collect, clean, validate data, prepare it for training.
• Develop reliable models. Track and Improve output quality.
• Deploy models to fast and scalable APIs.
• Reference: D0Qebf1XPUCND8GpOjRfet_dwUrwpxWRfWN56sck1UAfov2kalI8Lfz0L1ECfuQ8

Minimum requirements:

• Minimum 3 years of experience in Neural Networks, minimum 1 year in NLP
• Good PyTorch skills (alternatively: Keras/Tensorflow)
• Good knowledge of Neural Networks: RNN and LSTM
• Good knowledge of Natural Language Processing

Preferred qualifications:

• Hands-on experience in Full Cycle of Modelling: from Data collection to Deployment into production
• Sound experience with Natural Language Processing: named entity recognition, sentiment analysis, text summary, text classification – that sort of things
• Preferred experience with Spark and Ensables

We offer:

• Potential to take a leading role in Data Science department
• Bureaucracy Free approach, flexibility in choosing Modern Technologies
• Grow with C Teleport in a rapidly expanding business
• Work in a talented & diverse team speaking 7 languages
• Work Remotely or in Rotterdam. NL (relocation is mandatory for the leading roles)

Application stages:

• CV Screening
• Questionnaire form
• Introductory interview
• Technical interview
• Job offer

Apply Now, we carefully consider all the candidates and keep data for the future better matching positions if the application was not accepted.

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