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 challenges to create insights and drive business acumen to add value to our world class products and services About You – experience, education, skills, and accomplishmentsAdvanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience.Atleast 4 years of industry experience in the application of ML and NLPExcellent understanding of ML, NLP, and statistical methodologies in a data analytics environmentGood programming skills (Python, Java, R or C++)It would be great if you have,Experience with large language modelAbility to test ideas and adapt methods quickly end to end from data extraction to implementation and validationExperience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologiesWhat 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 websitesImplements these methods and devises appropriate test plans to validate and compare the different approachesIdentifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and dataExplores existing data for insights and recommends additional sources of data for improvementsAbout 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.At Clarivate, we are committed to providing equal employment opportunities for all persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.
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