Philips India Limited | Jobs | Data Scientist Manufacturing Systems and Industry 4.0 | BigDataKB.com | 04-02-22

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Job Location: Pune

  • In this role, you have the opportunity to support our customers in all aspects of production equipment (from consultancy until designing and building).
  • One of the main themes is Industry 4.0, with focus on manufacturing data intelligence and analytics.

You are responsible for

  • Understand the key drivers and issues that have impact on overall quality and efficiency of manufacturing processes and equipment.

  • Able to translate operational issues into tangible solutions by using data modeling and analytical techniques using available data and present and discuss these to stakeholders.

  • Work together with equipment architects, process technologists and manufacturing/equipment/quality engineers to analyze and optimize manufacturing processes and equipment.

  • Delivering meaningful insights by using advanced technologies for analyzing and interpreting large complex data sets.

  • Analyze and advice regarding the relevance, quality and accuracy of the gathered data.

  • Signal opportunities and team up with others in the organization to realize these

  • Propose, plan and execute ideas to further develop the competences of the organization

To succeed in this role, you ll need a customer-first attitude and the following

  • Master/Bachelor degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

  • Data science/analytics experience

  • Hands on experience with statistical analysis, applying various machine learning techniques, predictive modeling and data mining.

  • Experience with data querying languages (e.g. SQL) and scripting languages (e.g. R Python)

  • Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills.

  • Experience with Microsoft Azure analytics (e.g. Azure Data Explorer) is highly preferred.

  • Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations.

Apply Here

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