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Data Scientist III

3 months ago

Bengaluru, Karnataka, India RELX India (Pvt) Ltd L&P div Company Full time
About the Role


Nexis Solutions, a division of LexisNexis, is seeking a Data Scientist who will focus on search and be dedicated to the creation of next-generation search relevance techniques and strategies for LexisNexis, dramatically improving how our users search and find the answers to their research questions.

This role should be able demonstrate versatility, collaborate across teams, and be enthusiastic in tackling new problems as we continue to push technology forward

Responsibilities


Work to solve some of the most challenging problems in natural language processing, machine learning, and information retrieval including topical classification, sentiment analysis, user intent detection.

Research, build, and deploy models based on both shallow and deep machine learning.

Train robust NLP-based models a very large corpus of news and financial dataApply machine learning techniques for improving search algorithms.

Drive best practices for NLP/Machine Learning pipelines.

Maintain current knowledge base of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), API's, and open-source methods, able to quickly evaluate alternativesTranslate complex business requirements into actionable stories with reasonable time estimates.

Work with product leaders to apply data science solutions.

Requirements

In-depth understanding of machine learning techniques such as classification, clustering, recommendation systems, and statistical models.
Experience using Machine Learning and associated packages like scikit-learn, pandas, NumPy.

Proficiency training large scale models in at least one modern deep learning engine such as TensorFlow, Keras, PyTorch/Torch, MXNet, Caffe/Caffe2Min 2 years of experience using NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, spaCyMin 3+ years recent coding experience using Python AND/OR (Java OR Scala)SQL programming experienceExperience and ability to design and work within complex data models.

Strong skills in setting, communicating, implementing, and achieving business objectives and goalsFamiliarity with Cloud-based Machine Learning environments, Spark, Visualization/Dashboarding, Elasticsearch, Solr, Graph DBs (i.e., Janus Graph, Neptune, etc.)