NLP Data Scientist

- A strong background in mathematics and statistics.

- Commercial experience in NLP solutions, whether it is conversational AI, information extraction, text summarization, or sentiment analysis.

- Proficient in the scientific Python stack: numpy, matplotlib/seaborn, pandas, scikit-learn, Jupyter notebook, etc.

- Experience in some of the following tools in the NLP stack: NLTK, spaCy, Stanford CoreNLP, word2vec, glove, fastText, Google BERT, gensim.

- Solid foundation in traditional machine learning algorithms, from Naive Bayes, Linear Regression, SVM, KNN, to random forest and boosted trees.

- Experience in building, training, and evaluating deep neural networks using Google Tensorflow or Pytorch.

- Willing to work and wrangle with messy and incomplete data. Comfortable with SQL and Unix (MacOS or Linux command line).

- Education: We prefer a degree in science, computer science, mathematics, statistics or economics from a top Vietnamese or foreign university.

- Excellent logic skills.

- Good verbal English communications skills.

- Prefer experience working in an agile development environment using eXtreme Programming and/or SCRUM.

- Willing to work closely and continuously with other researchers and programmers, almost never working alone.