Responsibility:

• Understand customer business requirements and use cases;
• Use in-house or open source analytic tools and machine learning, deep learning skills to analyze data;
• Deliver insightful analytics that solve key client business problems;
• Data mining and screening of rich data sources.

Qualification:

• B.A. degree with 5-7 years working experiences, or Master degree with 2-3 working experience (criteria for years of working experience can be less stringent if the candidates have enough project experience);
• Strong mathematical and statistical background;
• Able to communicate with business and IT leaders in a way that can influence how an organization approaches business;
• Familiar with at least one of these tools: R, Python, Tensorflow, SAS,  Aster,  SPSS, Matlab, Hive, etc;
• Experience in Spark, Hadoop, Docker;
• Knowledge of database and distributed file system;
• 强大的数学和统计背景;
  能够以影响组织如何处理业务的方式与业务和IT领导者进行沟通;
  熟悉这些工具中的至少一个：R，Python，Tensorflow，SAS，Aster，SPSS，Matlab，Hive等;
  Spark，Hadoop，Docker的经验;
  了解数据库和分布式文件系统。