NAVER Tech Career
  • NAVER Tech Career
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        • CLOVA @ NeurIPS 2022
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        • NAVER CLOVA @ ICLR 2022
        • ICLR 2022 Social : ML in Korea
        • CLOVA AI Lab @ AAAI 2022
        • NeurIPS 2021 Social: ML in Korea
        • EMNLP 2021
        • CLOVA AI Lab @ NeurIPS 2021
        • NAVER CLOVA & AI Lab @ NAACL 2022
        • CLOVA & AI Lab @ ICML 2022
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    • Search & RecSys
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  • Data Scientist
  • Problem Areas
  • Requirements
  • Data / Software Engineer
  • Problem Areas
  • Requirements

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  1. Positions

Data & Analytics (Naver Search)

Data Scientist

Data & Analytics (DnA) team @ Naver Search is looking for passionate and talented data scientists at various levels (Junior / Senior / Manager). Data Scientists define new analytical problems and solutions, work with various partners in product and engineering to build solutions in new models and tools, and eventually deliver outcomes in reports and code to maximize technical and business impact. We also encourage the outcomes to be shared in major academic and industrial conferences.

Problem Areas

  • User Modeling in Intelligent (Search, Recommendation and Conversational) Systems

  • Research in Novel Metrics and Evaluation Techniques for Intelligent Systems

  • Develop and Improve the Practice of Offline and Online (A/B) Experiments

  • Causal Inference with Applications to Large-scale Industry Data / Problems

Requirements

  • Proof of quantitive and technical skills for all candidates

  • 3+ Years of experience in relevant areas for senior candidates

  • Relevant areas include crowdsourcing, A/B evaluation, causal inference and model-based metric development

Data / Software Engineer

Data & Analytics (DnA) team @ Naver Search is looking for passionate and talented data and software engineers at various levels (Junior / Senior / Manager). Data Engineers build large-scale data pipelines and infrastructure which will power various data-driven decision making and business intelligence. Software engineers build analytical ecosystem and online / offline evaluation platforms which will empower data scientists and analysts.

Problem Areas

  • Large-scale / real-time data pipeline development and optimization

  • Building state-of-the-art Offline (crowdsourcing) and Online (A/B) Evaluation Platforms

  • Building and improving platforms and tools for data scientists and analysts

Requirements

  • Proof of quantitive and technical skills for all candidates

  • 3+ Years of experience in relevant areas for senior candidates

  • Relevant areas include Hadoop / Spark / Scala / Docker / Kubenetes / Front-end & Full-stack Web Development

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Last updated 1 year ago

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