本科以上学历，数学，计量，统计，计算机等相关专业；
r 熟悉常用的统计与机器学习模型（线性回归，逻辑回归，聚类分析，时间序列，生存分析，决策树），并对基于一些新型算法（Bagging, Boosting, GBDT, Graph Theory, Deep Learning）有一定的研究与使用经验；
r 熟悉Linux Shell脚本，熟练掌握Python/Scala, hive, spark, SAS等语言之一，具备能够读懂项目代码，并且能够在生产环境中快速troubleshooting能力；
r 熟悉数据分析方法流程，面对相关问题能够快速找到解决方案。具有可视化前端开发经验最佳。
r Bachelor’s (ｍａｓｔｅｒ’s preferred) degree in a quantitative field (such as Statistics, Mathematics, Physics, quantitative scientific Computer Science)
r Strong understanding of linear regression, logistic regression, cluster analysis, time series, survival analysis, decision tree. Know some new algorithms like Bagging, Boosting, GBDT, Graph Theory，Deep earning, etc.
r Proficiency in Linux Shell, either Python/Scala, hive, spark, SAS. Ability to work with previously written code and quick troubleshooting in production environment.
r Experience in data analysis process and quick solution provided skills or data visualization by Java web is a plus.