Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on Academia & Government(A&G) 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
Requirements & Skills:
Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience.
Minimum 2-5 years of industry experience including advanced programming skills (Python, Java, Scala, R, or C++)
Experience with US-based and global team – presentation skills: connecting people, gathering data & information across business unit boundaries, and telling & selling the story
Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment; experience with large language models is a plus.
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
