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Ahrefs is looking for an experienced Data Scientist to join our Data Science team, to be based in our Singapore office.  In this role, you will research, prototype, deploy to production and maintain information retrieval and search systems.

What You'll Do

  • Research, prototype, build and maintain systems for information retrieval, search, document classification, and Q&A
  • Create comprehensive product requirements together with Product Development, Design and Marketing teams
  • Work closely with the Engineering teams (frontend and backend) to implement, deploy, and maintain production systems
  • Write thorough documentation
  • Effectively communicate highly technical results to various teams

Basic Requirements

  • Preferably at least a Master’s degree in any quantitative discipline: Applied Mathematics, Computer Science, Statistics, etc.
  • Experience with search, information retrieval, and natural language processing is a must
  • Experience with streaming algorithms and applications
  • Experience in Python, SQL (clickhouse dialect is a plus), Git, CI/CD
  • Experience with (at least one) deep learning framework: TensorFlow, Pytorch, Theano
  • Experience with big data platforms such as Spark and Hadoop
  • Experience with lucene-based search engines: Solr and/or Elasticsearch
  • Strong interpersonal and communication skills
  • Familiarity with functional languages such as OCaml or Haskell is a big plus

What You'll Get

  • Competitive compensation package
  • Informal and thriving work atmosphere
  • First-class workplace equipment (hardware & tools)
  • Perks and fringe benefits

Location for this role:

  • Singapore (only Singaporeans)

Ahrefs does not engage with agencies or third party recruitment solutions for the roles we hire for. If at any point we need help, we'll let you know! 

Biz kimiz

Veri bilimi ekibimiz büyük ve heyecan verici bir zorlukla karşı karşıya: Fairsearch deneyimini iyileştirmek için makine öğrenimi modelleri oluşturmak. Bir kullanıcının arama yaptığı zaman ne görmek istediği, ve bir içeriği diğerinden daha iyi veya daha alakalı yapan şeyler - bunlar, web sayfalarının tekrar nasıl sıralandığına ilişkin hayati sorulardır. İlginç geliyor mu? Ne düşündüğünüzü öğrenmeyi çok isteriz.

Mottomuz, önce yap, sonra doğrusunu yap, sonra daha iyisini yap

Greg laptopta çalışıyor.

İş başvurusu

Data Scientist [Search]

Singapore
Bu işe başvur

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