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!
Quiénes somos
Nuestro equipo de ciencia de datos se enfrenta a un gran y emocionante reto: construir modelos de aprendizaje automático para mejorar la experiencia de Fairsearch. Lo que un usuario quiere ver cuando realiza una búsqueda, y lo que hace que un contenido sea mejor o más relevante que otro, son preguntas vitales que informan sobre cómo posicionamos las páginas web. ¿Te parece interesante? Nos encantaría saber más de ti.
Nuestro lema es primero hazlo, luego hazlo bien, luego hazlo mejor
