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!
Quem somos
A nossa equipa de ciência de dados enfrenta um grande e excitante desafio: construir modelos de machine learning para melhorar a experiência Fairsearch. O que um utilizador quer ver quando executa uma pesquisa, e o que torna um pedaço de conteúdo melhor ou mais relevante do que outro – estas são questões vitais que informam como reclassificamos páginas web. Parece interessante? Adoraríamos saber a sua opinião.
O nosso lema é primeiro faça, depois faça certo, e depois faça melhor
