Senior Data Scientist III

Senior Data Scientist III 

About our Team:

Join 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 create 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 Scientists 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 Role:

Nexis Solutions, a division of LexisNexis, is seeking a Data Scientist dedicated to creating the next generation of search relevance techniques and strategies for LexisNexis, dramatically improving how our users search for and find answers to their research questions. This role requires versatility, collaboration across teams, and enthusiasm for tackling new problems as we continue to push technology forward. 

• Lead a team of Data Scientists working on complex and challenging problems. 

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

• Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models on a very large corpus of news and financial data. 

• Apply machine learning techniques to improve search algorithms. 

• Drive best practices for NLP/Machine Learning pipelines. 

• Maintain a current knowledge base of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), APIs, and open-source methods, and 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, and NumPy. 

• Proficiency in training large-scale models in at least one modern deep learning engine such as TensorFlow, Keras, PyTorch/Torch, MXNet, or Caffe/Caffe2. 

• Minimum of 5 years of experience using NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, and spaCy. 

• Minimum of 7 years of 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, and graph databases (e.g., Janus Graph, Neptune). 

Work in a Way That Works for You:

We promote a healthy work/life balance and provide numerous well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals. 

Working for You:

We offer comprehensive benefits to support your health and well-being, including: 

• Comprehensive health insurance for you and your family. 

• Enhanced health insurance options at competitive rates. 

• Group life insurance for financial security. 

• Group accident insurance for protection against accidental death and permanent disability. 

• Flexible working arrangements to help achieve work-life balance. 

• Employee assistance programs for support with personal and work-related challenges. 

• Medical screening prioritizes your well-being. 

• Modern family benefits, including maternity, paternity, and adoption support. 

• Long-service awards to recognize dedication. 

• New baby gift to celebrate parenthood. 

• Subsidized meals in specific locations. 

• Various paid time-off options, including casual leave, sick leave, privilege leave, compassionate leave, special sick leave, and public holidays. 

• Free transportation for home-office-home travel in select locations. 

About the Business: 

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services

 #L1MC1 

#L1Hybrid