精选DS岗位 | Bayer、Amazon、Apple公司岗位发布！

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• locations

  
  

• location职位要求：

  职位要求：

• Develop code in multiple programming languages (e.g., Python, R, etc.).

• Support mining of process data from IT systems and databases o Develop workflows for mining, pre processing and visualization of data.

• Evaluate and apply different machine learning methods.

• Interact with DSS members to support activities and projects in the areas of bioprocess monitoring, root cause analysis, process understanding and process improvements.

• Communicate outcome of development activities to the team.

• Document project outcome in a short technical report.

 【Amazon】

职位：Data Scientist

• Modeling, research design experience

• MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field

• 3 yrs relevant experience; or, PhD +1 yr relevant experience

• Fluent in SQL, Python

• Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms

• Big Data Engineering with Spark / AWS EMR & Glue

• Experience with Agile Software Development

 【Apple】

职位：Data Scientist - Wallets, Payments and Commerce

• locations

• Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop

• Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java

• Practical experience with and theoretical understanding of ML algorithms for classification, regression, clustering, and anomaly detection

• Ability to extract significant business insights from data and identify the roots behind the patterns

• Communication skills for communicating complex quantitative analyses to senior business executives

• Minimum of bachelor’s degree, preferably in engineering, economics, statistics, computer science, or related quantitative field. Advanced degree in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.

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