- Understand business objectives and identify opportunities to apply Data Science techniques to achieve business impact
- Model and prototype business problems with quantitative methods including statistics, machine learning, etc, with the goal of production deployment
- Collaborate with product teams in gathering relevant product information.
- Work closely with data engineers to adapt and improve data pipelines for Data Science modeling
- Work closely with machine learning researchers in designing and implementing machine learning models
Qualifications
- Ms in Mathematics, Statistics, Computer Science, or Economics
- Master in statistics and machine learning methods
- Expert in Python. Solid experience with Python packages such as Numpy, Panda, and Scikit-learn.
- Expert in SQL or other relational database.
- Strong communication skills to present the result of analyses
- Knowledge and experience in cloud computing is a plus