Job Description

Data Scientist IIIWould you like to be part of an engineering squad delivering innovative technical solutions?Do you enjoy being part of a team collaborating to deliver success?About our TeamJoin our team to help build state of the art research tools. Our Data Science teams focus on extracting key information such as entities mentioned, sentiment analysis, data enrichments, predictive insights, and more to build best in class data and news streams relied on by our global customer base. We are in the beginning stages of adding Generative AI across our portfolio of products while continuing to be committed to High Quality and trusted / citable information with everything we do. We are looking to grow our team with Passionate Data Scientist committed to delivering Highly scalable production instances of new and existing products that will put your data science, data engineering, and Devops skills to the test.About the RoleNexis 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 forwardResponsibilities

• 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 data
• Apply 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 alternatives
• Translate 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/Caffe2
• Min 5 years of experience using NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, spaCy
• Min 5 years recent coding experience using Python AND/OR (Java OR Scala)
• SQL programming experience
• Experience and ability to design and work within complex data models.
• Strong skills in setting, communicating, implementing, and achieving business objectives and goals
• Familiarity with Cloud-based Machine Learning environments, Spark, Visualization/Dashboarding, Elasticsearch, Solr, Graph DBs (i.e., Janus Graph, Neptune, etc.)

About UsRELX is a global provider of information-based analytics and decision tools for professional and business customers.We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. The Group serves customers in more than 180 countries and has offices in about 40 countries. It employs over 33,000 people, of which around 1/4th are technologists.We want RELX to be a great place to work, where our employees feel valued, have equal opportunities and benefit from pay equality, regardless of their gender, gender identity, national origin, race, ethnicity, religion, sexual orientation, age, or disability status. Inclusion and diversity are important to our future. We need the engagement of people from a wide range of backgrounds, experiences, and ideas to achieve real innovation for our customers around the world.About LexisNexisWe help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets and monitoring relevant news. We partner with leading global associations and customers to help advance the Rule of Law across the world.Every day at LexisNexis, you will work with highly creative minds to explore impossibilities, inspire innovation, and lead the way 21st century legal content is produced, disseminated, and utilised. You have the power to empower those in need and truly make a difference to the lives of people all around the world.Nexis Solutions, a division of LexisNexis, We are the leading global provider of news and business information, constantly innovating to help our customers succeed by combining information and analytics to increase productivity, improved decision making and outcomes.Join us in building a high performing development team in India.Apply today, or to learn more about opportunities with LexisNexis or RELX Global, join us here:LexisNexis Careers | Legal & ProfessionalLexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: , or please contact 1-855-833-5120.Please read our .

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