Senior Data Scientist

5 days ago

Noida, Uttar Pradesh, India Clarivate Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We are looking for a Senior Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challengesto create insights and drive business acumen to add value to our world class products and services

About You experience, education, skills, and accomplishments

  • Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience.
  • Atleast 5 years of industry experience in the application of ML and NLP
  • Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment
  • Good programming skills (Python, Java, R or C++)

It would be great if you have,

  • Experience with large language model
  • Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation
  • Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies

What will you be doing in this role?

  • Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites
  • Implements these methods and devises appropriate test plans to validate and compare the different approaches
  • Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data
  • Explores existing data for insights and recommends additional sources of data for improvements

About the Team

You would be part of our incredible data science team of Intellectual property (IP)group & work closely with product and technology teams spreads across various locations worldwide.

Hours of Work

This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

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