Note: The job is a remote job and is open to candidates in USA. LexisNexis is a global provider of information-based analytics and decision tools for professional and business customers. They are seeking a Senior Data Scientist II to join the Yoda team, focusing on solving complex data science problems using NLP and machine learning, while collaborating with cross-functional teams to develop impactful data products.
Responsibilities
- Solve challenging problems in natural language processing, machine learning, and information retrieval, including topical classification, sentiment analysis, entity extraction, and user intent detection
- Research, build, train, evaluate, and deploy machine learning models using both traditional and deep learning techniques
- Develop robust NLP-based models over large-scale corpora, including news, financial, legal, and business data
- Design and improve scalable NLP and machine learning pipelines
- Evaluate state-of-the-art algorithms, models, APIs, and open-source tools, including BERT, ELMo, GPT-based models, and related technologies
- Translate complex business requirements into actionable technical stories with practical estimates
- Partner with product leaders, engineers, and cross-functional stakeholders to apply data science solutions to real business problems
- Contribute to best practices for model development, evaluation, deployment, monitoring, and maintenance
- Support and mentor junior team members while contributing as part of a small, collaborative team
Skills
- Strong understanding of machine learning techniques, including classification, clustering, recommendation systems, regression, and statistical modeling
- Hands-on experience with Python machine learning and data science libraries such as scikit-learn, pandas, NumPy, and related tools
- Experience with NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, spaCy, or similar frameworks
- Proficiency training large-scale models using at least one modern deep learning framework such as TensorFlow, Keras, PyTorch, MXNet, Caffe, or Caffe2
- Experience building and deploying cloud-based services, preferably using AWS services such as EC2 and Lambda
- At least 5 years of recent coding experience using Python and/or Java or Scala
- SQL programming experience
- Experience designing, working with, and reasoning complex data models
- Familiarity with cloud-based machine learning environments, Spark, visualization and dashboarding tools, Elasticsearch, Solr, and graph databases such as JanusGraph, Neptune, or similar technologies
- Strong ability to set, communicate, implement, and achieve business objectives and goals
- Ability to work effectively on a small team and provide technical leadership or mentorship to junior team members
- Experience with large language models and generative AI workflows
- Experience with entity extraction, taxonomy management, knowledge graphs, or data enrichment
- Experience working with large-scale legal, news, financial, business, or professional data
- Familiarity with model evaluation, experimentation frameworks, MLOps practices, and production of ML monitoring
- Ability to quickly evaluate new approaches and determine the right tool or model for a given business problem
Benefits
- We promote a healthy work/life balance across the organisation.
- Numerous wellbeing initiatives
- Shared parental leave
- Study assistance
- Sabbaticals
- Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
- Annual incentive bonus
- Country specific benefits
Company Overview
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