Senior NLP Data Scientist

Posted Date 20 days ago
Location Saudi Arabia
Discipline Information Technology
Job Reference 32080
Salary 0.0
Senior NLP Data Scientist
Location: Riyadh, KSA

We are looking for a senior NLP Data Scientist that will be responsible for the design and development of multiple Machine learning products with a focus on NLP. It is expected that the candidate has a minimum 3 years of practical experience as a Data Scientist with an in-depth know-how of NLP. Also a demonstrated ability to mentor junior Data Scientist is necessary.

  • A higher education degree in a Computer Science, Software Engineering or other Data Science related field.
  • A minimum of 3 years of working experience as a Data Scientist or Machine learning Engineer
  • A strong programming skill with a deep understanding of object-oriented programming
  • Strong experience in text representations such as Bag or Words, Word Embeddings and Language model text representation.
  • Strong experience in designing and building predictive models on NLP problems, using classical machine learning as well as modern neural network approaches.
  • Working with other technical teams to best use predictive models in a production environment.
  • Strong ability in communication and collecting requirements from the customer.
  • Write clean documented code as well as documenting ML models and performances
  • Experience in analyzing data quickly and communicating results as a report
  • Leadership and communication skills.

Technical experience
  • Python
  • Pandas, Numpy, and Scikit-learn, NLTK, Spacy
  • Tensorflow, Pytorch, Keras, Transformers
  • Regex, Debuging,
  • SQL
  • Object-oriented design, Software Engineering

  • Design experiments, test hypotheses and build machine/deep learning models to be deployed in a real-time environment, consuming text data.
  • Define the data requirement to build a machine/deep learning model as well as the annotation process needed
  • compile advanced analytical report on given data, which includes producing graphs of interesting patterns and writing insights on them.
  • Up to date on the field by reading papers and following big impact research institutes.
  • Lead projects and guide and mentor junior ML engineers