Data Scientist

JALA


Tanggal: 1 minggu yang lalu
Kota: Yogyakarta, Yogyakarta
Gaji: Rp 8.500.000 - Rp 8.900.000 per tahun
Jenis kontrak: Penuh waktu
Job Description

  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our ads products
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Inform, influence, support, and execute our product decisions
  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
  • Build and prototype analysis pipelines iteratively to provide insights at scale
  • Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
  • Conduct researches to help product and engineering team provide better value proposition for shrimp farmers through data

Requirements

  • 1-3 in data science related roles
  • BA/BS in Math, Statistics, Economics, Computer Science, or other quantitative field. Advanced degrees preferred but not required
  • Able to collect and process data from any resource using SQL, R/Python or other scripting and statistics tools
  • Having experience in data analytics
  • Having experience in AWS technology is a plus
  • Having experience in using machine learning frameworks
  • Having experience in statistical analysis (ex: hypothetical test, experimentations, regression) and familiar with statistics tools (Matlab, R, SAS, or Python)
  • Experience with large data sets and distributed computing is a plus
  • Ability to initiate and drive projects to completion with minimal guidance
  • The ability to communicate the results of analyses in a clear and effective manner
  • Advanced understanding of statistical analysis
  • Having experience in machine learning and artificial intelligence

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