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Data Scientist - Manufacturing

  • Location: Singapore
  • Salary: Negotiable per year
  • Job Type:Permanent

Posted about 5 years ago

  • Sector: Technology
  • Function: Engineering
  • Contact: Ashley Lim
  • Expiry Date: 24 March 2019
  • Job Ref: JN -122018-219946

Data Scientist - Manufacturing

My client is a leading Chemical MNC with strong global presence. We are looking for a Data Scientist to manage data-driven initiatives across the business as part of the organization's expansion plan. The role seats within the corporate team with strong strategic and implementation responsibilities.

Responsibilities:

  • Define manufacturing analytics opportunities, driving projects pertaining to continuous improvement, digitization and operations
  • Translate business problems into data science projects, including and not limited to identification of patterns, development of models, and evaluating solutions
  • Create statistical models to solve problems and leverage on analytics to identify areas of improvement
  • Developing machine learning models and predictive analytics techniques to optimise processes and operations.
  • Develop expertise in data mining and analytics, sharing insights of relevant data through visualization and statistical methods

Requirements:

  • Masters/ PhD in Engineering / Computer Science/ Statistics/ Applied Mathematics/ Business Analytics
  • Proven track record in achieving successes through Data-driven applications
  • Good knowledge in programming and statistics with strong experience in Data mining and analysis
  • Technical experience in Predictive Analytics, Machine Learning and Programming (R, Python, etc)
  • Strong problem-solving skills with the ability to present insights and findings to stakeholders to support decision-making processes

Interested candidates are highly encouraged to apply!

Please send your updated CV to alim@argyllscott.sg.

Thank you!

Ashley Lim May Ping
R1106979

EA Registration Number: R1106979
Argyll Scott Singapore Pte Ltd. EA Licence Number: 16S8105