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NLP Data Scientist | Remote | 941

  • Position: NLP Data Scientist
  • Location: Remote
  • Salary: up to 25 000 PLN (B2B/perm)

Our client is a Silicon Valley startup that is developing the next-generation intelligent recruiting platform that will empower recruiters and job seekers to find instant matches to their job requirements, skill sets, and experiences. We are looking for an ambitious and passionate team member for them to help grow and scale their business.

As a core team member of the data science team, you will work with the rest of the team, and modeling experts to gather insights and identify opportunities to improve ML matching technology. You will also work closely with the engineering and product teams on the design, requirements and final delivery of product features. You will convey your vision through bold product roadmaps in the context of the overall business objective and have the opportunity to collaborate with product and engineering teams, leveraging machine learning to solve customer problems across different use cases.

As a NLP Data Scientist, you will be:

  • Conducting research using various NLP techniques
  • Sharing deep knowledge and expertise with team members to improve existing models 
  • Working on data science pipelines
  • Running ML tests and experiments, performing error analysis
  • Participating in peer reviews
  • Collaborating with local and offshore co-workers

Requirements:

  • 5+ years of OOP experience including 3+ of Python
  • 5+ years of experience with machine learning especially with the Natural Language Processing projects
  • Strong experience developing and implementing NLP algorithms in a commercial setting
  • Expert in NLP methodologies: document embedding, text mining
  • Experience with NLTK, Spacy, Gensim, HuggingFace Transformers
  • MS degree in Computer Science or related IT / technology field or equivalent experience
  • Excellent English communication skills, both oral and written

Nice to have

  • Ph.D. in Computer Science with research using NLP
  • Expertise in recommendation systems / self-supervision
  • Experience with Data Engineering, MLOps and SQL
  • Hands-on engineering and implementation knowledge with container technologies like Docker & Kubernetes
  • Experience architecting, developing software in cloud environments such as Amazon Web Services, Azure or Google Cloud Platform
  • Experience working with geographically distributed engineering teams

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