1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on.
2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results.
3. Build new and enhance existing tools to strengthen the internal toolbox of the Data Science Team.
4. Carry out research on cutting-edge data science techniques, approaches, tools, and application scenarios.
5. Work closely with diverse roles such as data scientists, project managers, product managers, data engineers, web developers, designers to name just a few to scale REAS’s products.

[Requirements]
1. Degree from a leading university with a quantitative focus, e.g. Economics, Mathematics, Statistics, Computer Science, Electrical Engineering, Physics, or other related areas
2. 2+ years of industry experience in data science with strong knowledge of automated machine learning, machine learning, deep learning, time-series forecasting, statistics, visualization, data preprocessing, and data analytics
3. Familiarity with technologies like Python, R, SQL, and TensorFlow (Good programming skill in Python is a plus)