[上海]Cisco 思科系统（中国）DATA SCIENTIST (PHD)-CSMTG思科认证优先

 

[上海]Cisco 思科系统（中国）DATA SCIENTIST (PHD)-CSMTG思科认证优先

 

思科公司1984年由斯坦福大学的一对教授夫妇创办，1986年生产第一台路由器，让不同类型的网络可以可靠地互相联接，掀起了一场通信革命。思科公司每年投入40多亿美元进行技术研发。过去20多年，思科几乎成为了"互联网、网络应用、生产力"的同义词，思科公司在其进入的每一个领域都成为市场的领导者。

 

思科公司目前拥有全球最大的互联网商务站点，公司全球业务90％以上的交易是在网上完成的。思科坚信：互联网将改变人们的工作、生活、学习以及娱乐的方式，并且让诸多领先企业与合作伙伴成为"全球网络经济"模式的受益者。

 

Cisco CSMTG Introduction:

Cisco Cloud & System Management Technology Group (CSMTG) provides the products of cloud management (XaaS), data center automation, big data management, OSS, and network management to help our customers achieve unparalleled time-to-value for Cisco equipment, platforms, and technologies.

 

Product Introduction:

We are looking for self-motivated and energetic software engineers to join our software development team working on big data analytics product. We can provide great opportunities for learning, career development and advancement. In addition to learning about the latest industry technologies, there are many opportunities for continual technical development, career development and advancement through ongoing training and various challenging assignments

 

Responsibilities:

Work with a global team to define requirements and solution. 

Conduct and manage applied research and modeling work in the areas of complex event processing, security detection, etc.

Take an active and hands-on role in proof of concepts, customer technology demonstrations and application design and development.

 

Requirements:

Must have skill/experiences

Excellent understanding of computer science fundamentals, data structures, and algorithms.

Experience in data mining and machine learning techniques

Proficient in Java/C/C++/Python

Good to have skill/experiences

Experience in large data sets, especially real-time streaming data is big plus

Knowledge of the database implementations is a plus

Hands-on with R or Hadoop is a strong plus

Publications in renowned international journals and conferences is a plus

 

Educational Background:

PhD in CS/Machine Learning/Statistics or a MS with extensive experience in the field

 

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