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Data Scientist (Optimization) for HCL Merchandising Solution Development

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发表于 2017-9-11 11:14:47 | 显示全部楼层 |阅读模式

Job Description
The Data Scientist will work on a variety of research and development projects leveraging multiple analytical techniques (statistical modeling, machine learning, data mining, optimization). The Data Scientist is responsible for researching, resolving and recording all levels of science-related questions from DemandTec Support Engineers quickly and consistently. This involves working closely with other members of the Support and Data Science teams to identify the best solution for customer issues in an effective manner. Additionally, the Data Scientist will ensure the quality of our science by designing, creating and maintaining test cases for all existing and upcoming Science features. The ideal candidate will be detail oriented, organized, and reliable and will possess a strong background in a quantitative field. Interpersonal and communication skills are especially important as the individual will be expected to explain difficult scientific and technical concepts to both internal and external users. Must be able to handle multiple priorities, be very flexible, and work well with minimum supervision. Must be able to take initiative and succeed under pressure in a fast paced, dynamic environment.

Responsibilities
- Design and develop optimization features and work with QA team for test cases
- Work with Support Team and Professional Service to resolve optimization-related customer issues
- Develop tools to streamline Data Science troubleshooting process

Minimum Requirements
- Master degree in a quantitative field such as Operations Research, Industrial Engineering, Management Science, Applied Mathematics.
- Familiarity with linear, nonlinear, and integer programming
- Excellent verbal and written communication skills, and the ability to express technical concepts in clear, concise terms
- Demonstrated analytical skills and great comfort with handling vast quantities of data and summarizing meaningful insights

Desired Experience
- Experience in GAMS, AMPL or OPL
- Experience in Python, SQL, Excel, and Shell Scripting
- Experience in machine learning and deep learning
- Experience in econometric modeling
- Experience with large scale real world problems on Data Science

We are now looking for highly motivated talents. If you are passionate about development and new technologies, join us! Please send your resume to ljlchen@cn.ibm.com with mail title "Resume for Data Scientist (Optimization) Position - YourName_SchoolName".

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