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내용필수 웹에디터 시작 > > > 해당 공고는 Head hunter를 통해서 뽑는 것이기 때문에 회사명을 밝힐수 없음을 알려드립니다. > 이력서와 커버레터를 "wisemanpark01@gmail.com" 여기로 보내시면 됩니다. > > Data Engineer > This position’s office is based in CA (LA & Bay Area), but is open to anywhere in US with partial or full remote work arrangement. Data & Analytics (DnA) team @ Search is looking for passionate and talented Data Engineer at Manager Level. Data Engineer builds 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 Qualifications > · Proof of quantitative and technical skills > · 8~13 Years of professional software development experience > · Relevant areas include Hadoop / Spark / Scala / Docker / Kubenetes / Front-end & Full-stack Web Development > ·Previous work experience requires from one of the FANG level company ·Track record of rapidly acquiring new technical skills > Education > Master’s or Ph.D degree in Computer Science or Statistics preferred > > Senior Data Scientist > This position’s office is based in CA (LA & Bay Area), but is open to anywhere in US with partial or full remote work arrangement. Data & Analytics (DnA) team @ Search is looking for passionate and talented Data Scientists at Manager Level. Data Scientists define new analytical problems and solutions, work with various partners in product and engineering to build 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 > Job roles > · 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 > Qualifications > · Proof of quantitative and technical skills > · for more than eight years Years of experience in relevant areas > · Relevant areas include crowdsourcing, A/B evaluation, causal inference and model-based > metric development > · Have research achievements or published papers as a thesis author at conferences or society such as SIGIR, RecSys or KDD > · Previous work experience requires from one of the FAANG level company · Track record of rapidly acquiring new technical skills > · Experience in Python Data Science ecosystem (pandas / jupyter notebook / numpy) preferred · Work closely with other members of the team, including those with different domain expertise > > Education > Master’s or Ph.D degree in Computer Science or Statistics preferred > > 웹 에디터 끝
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