Date Posted:
Salary:
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Job Description

Responsibilities Are you interested in building better products based on data? We makes decision by looking at the data, hence we value data. As data science engineer, you will get to work on some engineering-related tasks like building API in a TDD fashion, and some data science-related tasks like classifications, clustering, etc. There are 2 kinds of code that we write: scripting code and production-level code. For scripting, we write scripts just to get the job done. For production-level code, we need it to be production-ready, meaning no slow-performing codes are allowed. What you will do:
  • Bunch of classifiers
  • Clustering
  • Newsfeed scoring (incl., recommender engine)
Requirements
  • Believe in our values: Get job done, Be Bold, Stay Curious, Excellence, Collaboration
  • Knowledge in computer-science is a must
  • Have a foundation on machine learning concepts and algorithms (text-related is preferred)
  • Able to scrape website for gathering training data, and clean them up
  • Able to do queries (SQL and NoSQL)
  • Able to code in Python (knowing Golang is a plus)
  • Familiar with Git
  • Knowledge on containerized-solutions (docker, kubernetes) is a bonus
Preferred qualifications:
  • Experienced on software architecture
  • Experienced on production-level machine learning systems
  • Familiar with devops function

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Job Detail

  • Job Id
    286c4b1d19632698
  • Location
    id
  • Company
  • Type
    Private
  • Employment Status
    Permanent
  • Positions
    Available
  • Career Level
    Experience
  • Gender
    Male/Female

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