Statistics Engineer

The Programme 

- 146年的历史; 
- 60,000多项获批专利; 
- 100,000余名全球员工; 
- 180多个国家和/或地区的业务覆盖。 
-    扎根中国130年,全国共拥有约13,000名员工; 
-    4大研发中心,分别位于北京、上海、广州、成都,约有6,000名员工,年均研发投入超30亿人民币; 
-    5大全球服务中心,分别位于大连、西安、广州、武汉、北京,约有3,800名员工; 
-    分布在全国各大省会及核心城市的东北亚区网络部团队,约有近千名员工,服务全国业务; 
-    在南京设有全球领先的供应中心,约有1,900余名员工 


  • You must have strong foundation of data science and machine learning tools as well as proficient programming skills 
  • Define a machine learning based product roadmap within PDU Baseband. 
  • Define and conduct RAN product development studies with a focus on solutions based on Machine Learning/AI modeling and support the implementation into the 4G and 5G Radio Network and Network Management products
  • Doing pipeline, machine learning model deployment, MLOps focus areas 

Required Skills and Abilities

  • Bachelor’s or higher degree in computer science, data architecture, engineering, or a similar field 
  • In-depth understanding and knowledge of Network Performance and optimization, underpinning critical metric design, process and reporting using data analytics that supports it, including competence in Machine Learning (ML), Artificial
  • Intelligence (AI) and Automation of Data Analytics. 
  • Understand machine learning, microservice concept 
  • Understand data pipeline complexities and challenges 
  • Responsible for development of Machine learning algorithm based on use case. 
  • Experience in Linux system administration 
  • Deep understanding of the R&D flow including continuous design, integration, deployment and operations, as well as of
  • Lean and Agile methodology. 
  • Familiar with container technology and its application 
  • Preferably have tried a chart library and understand its principles. 
  • Operation of cloud native application, or public cloud provider (AWS, Google cloud) services 
  • High awareness of system and data security threats 
  • Experience developing software in one or more programming languages, such as: Python, C, C++, Java, R etc. 
  • Experience in any of the following areas - Virtualization, cloud, container technologies, development of microservices, SW architecture and agile methods and continuous integration are beneficial. 
  • Experience with data platform development and deployment on virtual on-premises cloud provided by Amazon Web
  • Service (AWS), Google Cloud, or others 
  • Data flow and pipeline concept and application 
  • Being familiar with CI/CD tools and processes (dev, build, test, deploy cycles and tools like GitLab-CI, git would be effective) 
Closed a month ago
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Closed a month ago
  • Job type:Graduate Jobs
  • Disciplines:
    Computer Science, Statistics
  • Citizenships:
  • Locations:
  • Closing Date:17th Dec 2022, 6:00 pm


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