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Senior Data Scientist

Req ID: J2220851

  • Location
    Chengdu, China
    Guangzhou, China
    Shanghai, China
    Shenzhen, China
    Singapore, Singapore
    Suzhou, China
    Taichung City, Taiwan
    Tianjin, China
    Wuxi, China
  • Category Information Technology
  • Posted Wednesday, July 15, 2020
  • Type Regular Full time

Job Description

Job Summary

The Data Scientist is an intermediate level statistical analyst well versed in various analytical disciplines, such as linear and constraint programming, modelling, simulation, time series analysis, text analytics, multivariate analysis, and other various predictive analytics techniques.

Essential Duties & Responsibilities

  • Analyse raw data: sourcing data from existing multiple DWH, assessing quality, cleansing, structuring for downstream processing;
  • Identify new potential data sources: value of new data, integrating into analysis, assessing data readiness for automation and optimisation;
  • Design, build and maintain efficient predictive solutions, full cycle: business case, data preparation, modelling, deployment to production;
  • Collaborate with business / operations / IT / Quality / etc team to scale analytical prototypes to production;
  • Monitor performance of the deployed models and fine tune when needed;
  • Collaborate with business teams to define new requirements or changes related to advanced analytics solutions;
  • Educate business users to understand the relevance of specific data and analytical approach; communicate on best practices;
  • Work on teams with business/functional stakeholders to help make data driven decisions;
  • Conducts advanced data analysis and complex designs algorithm;

Education & Experience Requirements

  • Advanced degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field;
  • Deep learning and image recognition skills are required;
  • Solid 3 - 5 year’s professional experience building predictive and descriptive models
  • Exposure to manufacturing environment preferred;
  • Ability to work on complex projects from model design to deployment;
  • Extensive experience working with large datasets - structured and unstructured;
  • Knowledge, experience, and expertise in diverse statistical and data mining techniques (e.g. - GLM/Regression, Boosting, Random Forest, Trees, Clustering, PCA, SVM, text mining, social network analysis etc.);
  • Experience with Image recognition and object detection;

  • Experience with Convolution Neural Network and deep learning with Tensorflow, Keras as well as Pytorch;

  • Experience with Machine learning Operations and Engineering;

  • Ability to program and review code in Python, Spark, Scala, R is highly desirable;
  • Experience with Big Data technologies like Hadoop, Spark, Hive, NoSQL, etc., and Cloud technologies (AWS, Azure, etc.) is a must;
  • Proven track record of overseeing multiple data science and machine learning projects at all stages, from idea generation to objectives formulation to implementation and deliverables;
  • Desire to work in a highly-collaborative environment;
  • Ability to work on multiple data science projects concurrently;
  • Bilingual in Chinese and English (high fluency) as the successful person will liaise with our counterpart in China;
  • Excellent communication skill and ability to work collaboratively in a dynamic environment;
  • Traveling needed and mainly to Greater China Region

Accessibility Accommodation

If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Jabil.com/Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to Always_Accessible@Jabil.com or by calling 1.727.803.7515 with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail or phone number. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address and/or phone number.

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