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Senior Data Scientist (Smart Factory Optimization)

役職名: Senior Data Scientist (Smart Factory Optimization)
勤務地:
職種: IT
給与: SGD 96,000 - 120,000 (Annual)
求人番号: PR/090059
求人情報掲載日: 2023/02/02 18:30
Senior Data Scientist (Smart Factory Optimization)
MNC
Singapore (West)


JAC are currently recruiting an experienced Senior Data Scientist to work with a highly respected MNC.

The successful candidate shall receive a competitive salary, bonus & package; as well as the opportunity to work on various innovative & cutting-edge solutions within their newly established Innovation Hub.

The candidate shall operate as a technical lead, this role will be reporting into the AI Research Centre Head.

Role & Responsibilities:
  • Data model creation, development, visualization, deployment & optimization
  • Delivery of projects focused on smart factory optimization (linear & nonlinear programming, heuristic algorithms & stochastic processes)
  • Driving research & publishing papers/articles with a core focus on smart factory optimization, autonomous driving & robotics.  
  • Management of junior data professionals when required
  • Deploying solutions focused on Machine Learning solutions via Big Data frameworks

Experience & Qualifications:
 
  • Experience working as a Data Scientist with 4+ years of experience 
  • Proficient in analyzing data, hands on coding and automating data handling through SQL, Python and R
  • Experienced with ML technologies & strong experience working with large data sets (Big Data)
  • Experienced Driving research & publishing papers/articles with a focus on smart factory optimization/industry 4.0, autonomous driving or robotics  
  • A PhD, Masters or Bachelors degree in a quantitative field (e.g. Economics, Statistics, Sciences, Engineering, Computer Science) or equivalent 

To Apply
Please apply online. Due to the high volume of applicants, we regret to inform that only shortlisted candidates will be notified. Thank you for your understanding.

Mehak (R22104876)
JAC Recruitment Pte Ltd (EA Lic No: 90C3026)

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