Job description
Search and Analytics is a central technology team at Clarivate that develops best in class algorithmic services and search platforms for our products to enable differentiated capabilities. We take pride in innovating on behalf of our customers and delivering value to the business. Our scientists and engineers use Machine Learning, NLP, and Information Retrieval to solve problems along the entire Lifecycle of Innovation. From algorithms to classify content, to automating content extraction workflows, extracting and resolving entities, building recommender and decision support systems, predicting risk and outcomes, and enabling unique ways of finding content, these are just a few of the ways our team is fostering productivity of our customers who lead innovation in the world.
Major responsibilities:
- Identifies strategic information needs of internal clients and translates these into data requirementsto build high performance data stores.
- Design and implementation of the search infrastructure
- Works in collaboration with Data Scientists to constantly optimize the performance of the search engine.
- Explores existing data for insights and recommends additional sources of data for improvements.
- Works in collaboration with Data Scientists to constantly optimize performance of queries and availability of data.
- Explores existing data for insights and recommends additional sources of data for improvements.
- Track, verify, evolving data sources, data flows, tools & storage mechanisms
Technical /Professional Skills & Competencies:
- Excellent problem-solvingskills
- Advanced knowledge of ElasticSearch/Solr/Lucene is a plus
- Deep understanding of Java server platform and system tuning
- Big Data on cloud computing platforms with technologies such as Hadoop, Hive and Spark.
- Implement high quality code in an agile software development environment.
- Able to respond and present work to peers, answer in-depth questions, accept constructive feedback, and modify product accordingly.
Education and Background:
- Mastersdegree in Computer Science, Technology, or Engineering preferred
- Minimum 5 years relevant work experience (including internships)
- Proven track record in the application of ML/NLP/Search Engine/Big Data.
