1. Discover insights which could potentially help grow business intelligence from user data using mathematical/statistical methods.
2. Design and propose experiments to explore new data able to answer key questions from stackholders.
3. Create best-practice reports based on data mining, analysis, and visualization.
4. Working with product manager to interpret data, analyze results, identify trends, and form business strategies.
1. BS or MS in related areas (Computer Science, Information Engineering, Mathematics, and Statistics) with 1+ years of experience working on business data analysis, predictions, and strategies.
2. Solid Python programming skills in terms of data analysis and presentation.
3. Familiar with SQL and NoSQL database.
4. Familiar with programming on AWS and GCP; experience on using S3 and BigQuery.
5. Familiar with Restful API; web front-end programming experience.
6. Familiar with Linux programming environment and git.
7. Good communication, documentation, visualization, and presentation skills.
8. Understandings and experiences working with one or more machine learning frameworks, TensorFlow and Caffe would be a plus.
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