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!
Who we are
Our data science team faces a big, exciting challenge: building machine learning models to improve the Fairsearch experience. What a user wants to see when they run a search, and what makes a piece of content better or more relevant than another – these are vital questions that inform how we rerank web pages. Sounds interesting? We'd love to hear from you.
Our motto is first do it, then do it right, then do it better
