Lowongan Kerja PT Samsung Electronic Indonesia

Lowongan Kerja PT Samsung Electronic Indonesia - Samsung R & D Institute Indonesia (SRIN) beroperasi di bawah payung PT Samsung Electronic Indonesia dengan lini bisnis baru. SRIN, yang merupakan singkatan dari Samsung R & D Institute Indonesia, berfokus untuk membangun ekosistem konten dan layanan untuk Samsung Smart Devices. Layanannya terbagi dalam empat kategori; Content and Service Store, Manajemen Kemitraan, platform Mobile, dan platform layanan.
Lowongan Kerja PT Samsung Electronic Indonesia

POSISI : Data Analyst

  • Perform data exploration, predictive models, and computations on complex project.
  • Work closely with architect (DA) and engineer (DE) to deliver specific data computations.
  • Design, gather and manage large datasets from multiple sources.
  • Transform data into a usable state using appropriate analytic tools and techniques.
  • Write codes for data mining, machine learning, information retrieval, recognition, etc.
  • Build data visualization packages based on initial prototypes.
  • Conduct internal code tests (static analysis, correctness, performance and profiling tests).
  • Provide detail documentation for algorithms and data visualization package.
  • Utilize version control and lifecycle tools to manage codes and tasks in project.
  • Actively contribute in backlog ideation and consistently improve core competency.
  • Bachelor or Master degree in Computer Science, Information System, Information Technology, Software Engineering, Mathematic, Statistics, Physics and Electrical Engineering from Reputable Universities.
  • 3 years experiences in statistic, numeric or scientific computing.
  • 3 years experiences on R, Matlab, SAS, Java, C++, or Python programming.
  • 3 years experiences on data analytic technologies, frameworks and tools.
  • Strong understanding on machine learning, data mining and information retrieval.
  • Proven Experiences on data analysis/programming/visualization.
  • Strong mathematical background with emphasis in statistics.
  • Specialized on numerical, statistics or scientific computation.
  • Demonstrated expertises on design and implement data analytic/computation algorithms.
  • Excellent understanding on big data computation model and analytical algorithms.
  • Experienced shipping machine learning or predictive analytics models at massive scale.
  • Strong understanding on unstructured data modeling, analytic and computation.
  • Excellent communication abilities in English and Bahasa Indonesia.
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