Time Series Data Scientist / Economist

- A strong background in time series analysis, mathematics and statistics.

- Proven ability to write technical papers and develop time series models using Python.

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

- Experience with ARIMA, seasonal adjustment, stationarity, autocorrelation, VAR, time series forecasting.

- 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, and AWS or GCP infrastructure.

- 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 economics, 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.