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Job Description

Responsibilities:

  • Collaborating with and working on cross-functional teams, including production/operation engineers and managers as well as other business personnel, with the aim of achieving the following main objectives:
  • To improve the familiarity of all relevant stakeholders with thepotential use and expected benefits of data.
  • To increase the productivity of production lines.
  • To improve the quality of products.
  • To reduce total delivery costs.
  • Analysing data from various sources in order to extract useful and valuable insights.
  • Developing models that predict machine failures and quality defects in advance.
  • Performing diagnostic analytics on machines’ historical data in order to identify the top reasons for machines’ failures and quality defects.
  • Developing models that provide real-time forecasts of the need for spare part replacements.
  • Developing models that provide dynamic market forecasting.
  • Sharing and communicating any data-driven findings and conclusions amongst all relevant stakeholders.
  • The tasks above will be performed in a diverse set of businesses/industries (e.g., manufacturing, power generation and water distribution).

Basic Qualifications:

  • A degree (preferably MSc or PhD) in Computer Science, Applied Statistics, Mathematics, Industrial Engineering or related fields.
  • A good understanding of, and practical/academic experience with, machine-learning, time series forecasting, and statistical analysis.
  • Proficiency in the use of R or Python (or similar languages) for data analysis.
  • Some experience with data visualisation libraries and tools (e.g., D3.js or Qlik Sense).
  • A genuine curiosity in and passion for data, and a proven problem- solving ability.
  • Strong communication and data presentation skills, including the ability to communicate effectively with both business and technical teams.
  • Excellent written and verbal fluency in English (fluency in Arabic is a plus).
  • A degree (preferably MSc or PhD) in Computer Science, Applied Statistics, Mathematics, Industrial Engineering or related fields.
  • A good understanding of, and practical/academic experience with, machine-learning, time series forecasting, and statistical analysis.
  • Proficiency in the use of R or Python (or similar languages) for data analysis.
  • Some experience with data visualisation libraries and tools (e.g., D3.js or Qlik Sense).
  • A genuine curiosity in and passion for data, and a proven problem- solving ability.
  • Strong communication and data presentation skills, including the ability to communicate effectively with both business and technical teams.
  • Excellent written and verbal fluency in English (fluency in Arabic is a plus).

Preferred Qualifications:

  • Experience working in Big Data projects and hands-on experience with Big Data processing frameworks (e.g., Spark, Hadoop, Flink, Storm and Samza).
  • Experience in a manufacturing industry or experience with data analytics in a diverse set of domains/industries.
  • Familiarity with cloud-based environments, such as Azure and AWS.

Job Details

Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Full Time/Permanent
Job Location:
Gender:
No Preference
Minimum Education:
Masters
Career Level:
Experienced Professional
Minimum Experience:
8 Years
Apply Before:
Nov 04, 2018
Posting Date:
Oct 05, 2018
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NKU Technologies Pvt Ltd

Information Technology · 11-50 employees - Riyadh

Visionary Technology Champs

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