Senior Data Scientist - NLP

1 Year ago • 3 Years +

Job Description

This Senior Data Scientist - NLP role involves liaising with clients to understand data, developing NLP-based Voice of Customer systems, analyzing datasets using SoTA models, drawing inferences, and presenting findings to clients. Responsibilities include data blending from various sources (preferably in Azure/Microsoft tech stack), extracting valuable insights, and enhancing decision-making. The ideal candidate will have 3+ years of data science experience and proficiency in NLP models (Classification, Sentiment Analysis, Topic Modelling, Machine Translation, or Speech Analytics), along with excellent Python skills and experience with NLP libraries (spaCy, HuggingFace Transformers).
Good To Have:
  • Consumer care data analysis experience
  • Independent work ability
  • Good communication skills
Must Have:
  • 3+ years data science experience
  • NLP model experience (Classification, Sentiment Analysis etc.)
  • Excellent Python skills & NLP libraries (spaCy, HuggingFace)
  • Data analysis & insight extraction
  • Data blending (Azure/Microsoft preferred)

Add these skills to join the top 1% applicants for this job

azure
python
machine-translation
data-science
sentiment-analysis
communication

About the job

What will you do?

  • Liaise with clients to fully understand data content and context.
  • Develop NLP-based Voice of Customer systems for clients.
  • Analyse datasets, explore various SoTA models, draw inferences, and present them

successfully to clients.

You should apply if you have

  • 3+ years of data science experience
  • Experience with NLP models such as Classification, Sentiment Analysis, Topic Modelling,

Machine Translation, or Speech Analytics

  • Excellent Python skills, including experience with NLP Libraries (e.g., spaCy, HuggingFace

Transformers)

  • Proficiency in analysing extensive datasets to extract valuable insights and enhance

decision-making.

  • Proficiency in data blending for consolidating data from various sources, preferably in Azure

/ Microsoft tech stack

  • Desirable: Previous experience analysing consumer care data
  • Ability to work independently once given a direction
  • Good communication skills for effective collaboration with business professionals and

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