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Data Scientist

Experis Turkey

Tekirdağ(Çerkezköy)

İş Yerinde

İş Yerinde

Job Type

Full-Time

Position Level

Specialist

Department

Research and Development (R&...

Research and Development...

Application Count

166 application

Job Type

Full-Time

Position Level

Specialist

Application Count

166 application

Department

Research and Development (R&D)

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QUALIFICATIONS AND JOB DESCRIPTION

We are looking for “Data Scientist” for our leading client operating in manufacturing sector. Data Scientists to be employed at Tekirdağ.
 
  • PhD degree in Computer Science, Statistics, Informatics, Information Systems, Electrical Engineering, Industrial Engineering or another quantitative field,
  • Theory and practice of designing experiments and statistical analysis of results,
  • An understanding of machine learning, algorithms and computational complexity,
  • Experience in at least two of these required,
  • Machine Learning services at GCP, AWS and Azure,
  • Objectoriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Tensorflow, Scikitlearn, Spark ML or similar tools and frameworks,
  • Big data tools such as Hadoop, Spark, Kafka, etc.
  • Experience supporting and working with crossfunctional teams in a dynamic environment,
  • Excellent command of written and verbal English,
  • Have outstanding organizational, interpersonal and communication skills,
  • No travel restriction,
  • No military obligation for male candidates.


İŞ TANIMI

  • Be a part of AI team and work at various IoT and Industry 4.0 projects,
  • Apply Machine Learning concepts to large dataset,
  • Work with agile development methodologies,
  • Work closely with Data Engineers and Domain experts,
  • Conduct research in the areas of IoT, Cloud Computing, BigData, AI,
  • Develop proof of concept solutions to research problems,
  • Generate high quality proposals, publications and/or patents at national and international levels.

Preferred Candidate

More than 2 years of experience
Bachelor’s(Graduate), Master’s(Student), Master’s(Graduate), Doctorate(Student), Doctorate(Graduate)

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