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# Senior Data Scientist II

- **Company:** RELX Group plc
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Elastic Compute Cloud, Big Data, Cluster Analysis, Computer Programming, Data Mining, Elasticsearch, Graph Database, Information Retrieval, Python (Programming Language), Machine Learning, Named Entity Recognition, NumPy, Open Source Technology, Cloud Services, Tensorflow, Sentiment Analysis, Apache Solr, SQL Databases, Latent Dirichlet Allocation, Pytorch, Large Language Models, Apache Spark, Deep Learning, Keras, Pandas, Scikit Learn, Machine Learning Operations, Gensim, Opennlp, Spacy, GPT
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-data-scientist-ii-washington-usa-58863879

## About the Role

GPT-based models) * Translate business requirements into actionable technical stories with estimates * Partner with product leaders, engineers, and stakeholders to apply data science to real problems * Contribute to best practices for model development, evaluation, deployment, monitoring, and maintenance * Mentor junior team members and contribute as part of a small, collaborative team Tasks * Strong understanding of ML techniques (classification, clustering, regression, statistical modeling) * Hands-on Python data science libraries (scikit-learn, pandas, NumPy) * Experience with NLP tools/frameworks (OpenNLP, Stanford NLP, LDA, Gensim, spaCy) * Proficiency training large-scale models with TensorFlow, Keras, PyTorch, or similar * Experience building/deploying cloud services (AWS EC2, Lambda) * 5+ years coding experience in Python and/or Java/Scala * SQL programming experience * Experience designing complex data models * Familiarity with cloud ML environments, Spark, aaaaaaaaaaaaaaaa
2026-08-09 tools, Elasticsearch, Solr, graph databases (JanusGraph, Neptune) * Strong ability to set and achieve business objectives and mentor others Key requirements * flexible hours * wellbeing initiatives * shared parental leave * study assistance * sabbaticals * country-specific benefits

## Description

Experteer Overview In this role, you will advance NLP, ML, and information retrieval on large datasets, focusing on data extraction, structuring, and classification. You'll work with cross-functional partners to translate business needs into practical data science solutions and contribute to scalable pipelines. The position offers impact through building and deploying models that power legal and business analytics. You join a collaborative team that values responsible AI and continuous learning. Compensation / Benefits * Tackle advanced NLP, ML, and information retrieval problems (topic classification, sentiment analysis, entity extraction, user intent detection) * Research, train, evaluate, and deploy machine learning models using traditional and deep learning methods * Develop NLP models over large corpora including legal, financial, and business data * Design and improve scalable NLP/ML pipelines * Evaluate state-of-the-art algorithms, models, APIs, and open-source tools (e.g., BERT, GPT-based models) * Translate business requirements into actionable technical stories with estimates * Partner with product leaders, engineers, and stakeholders to apply data science to real problems * Contribute to best practices for model development, evaluation, deployment, monitoring, and maintenance * Mentor junior team members and contribute as part of a small, collaborative team Tasks * Strong understanding of ML techniques (classification, clustering, regression, statistical modeling) * Hands-on Python data science libraries (scikit-learn, pandas, NumPy) * Experience with NLP tools/frameworks (OpenNLP, Stanford NLP, LDA, Gensim, spaCy) * Proficiency training large-scale models with TensorFlow, Keras, PyTorch, or similar * Experience building/deploying cloud services (AWS EC2, Lambda) * 5+ years coding experience in Python and/or Java/Scala * SQL programming experience * Experience designing complex data models * Familiarity with cloud ML environments, Spark, visualization/dashboarding tools, Elasticsearch, Solr, graph databases (JanusGraph, Neptune) * Strong ability to set and achieve business objectives and mentor others Key requirements * flexible hours * wellbeing initiatives * shared parental leave * study assistance * sabbaticals * country-specific benefits


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