Data Analyst with Machine Learning Technical Experience

Posted 2 weeks ago

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Job Objective:

  • Supports the continued development of the Marine and Shipping organization’s maintenance strategy, by identifying data analytics techniques and machine learning models that are appropriate for condition monitoring
  • Predictive maintenance analysis in maritime industry and provide alternatives to Group Technical Superintendent for the Smart Projects.
  • Provides administrative support and coordination on various projects in support of achieving the organization’s maintenance objectives.

Key Accountabilities:

  • Investigates and proposes state-of-the-art analytical tools to be used for analysing Maintenance process of each SMC.
  • Support the Group Technical Superintendent to prepare relevant reports for Maintenance process of each SMC to discuss on a regular basis with SMCs.
  • Investigates and proposes most efficient models for predictive maintenance techniques on machinery equipment. Performs prototyping of such models, test them, and communicates these with IT counterpart for further development in production.
  • Engineering case studies including analytics (BI) and prepares strategic maintenance reports for relevant stakeholders.

Education & Qualifications:

  • B.S. degree in a Science, Technology, Engineering or Mathematics discipline

Work Experience:

  • At least 3 years’ experience with data analytics and machine learning models
  • Digital product development
  • Project management
  • Process optimization
  • Remote team management

Job-Specific Skills:

  • Embracement of effective use of data towards improved business results
  • Working knowledge of Azure, Google Colab and PowerBI platform
  • Script prototyping in python or any other similar programming language
  • Analytical mindset
  • Strong interpersonal and communication skills
  • Fluency in English
  • Expert IT literacy
  • Able to cooperate with colleagues in a multinational and interdisciplinary environment.

Apply Online

One Comment

  • Dhrruv Tokas says:

    I am thrilled to be applying here, and as a Data Scientist, my proficiency in my abilities and diligent nature will be of the greatest benefit to the company.
    Please find my resume attached and feel free to contact me via email or a phone call if I can be of any further service.

    I would like to show my appreciation to you for taking the time to review my application. Although, I firmly believe that I have the required expertise for this job post, however, I am always open to incorporating new techniques and teachings.
    I look forward to hearing from you.

    Sincerely,
    Dhrruv Tokas

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