Senior Data Scientist II

Job Summary

Senior Data Scientist II – RELX Inc. d/b/a Lexis Nexis USA. Develop new product features by discovering, extracting, and modeling knowledge from large‑scale natural language datasets. Collaborate with data scientists, product designers, data engineers, front‑end developers, and legal data annotators to prototype ideas, maintain data assets, and implement NLP‑based information extraction solutions.

• Propose and build data‑driven solutions for high‑value customer problems using large‑scale natural language datasets.
• Prototype new ideas and collaborate across cross‑functional teams.
• Evaluate and help maintain data assets and training/evaluation data sets.
• Develop and implement NLP‑based information extraction solutions.
• Identify trade‑offs of various algorithmic solutions and propose alternatives.
• Interface with other technical personnel to finalize requirements.
• Translate product requirements into software designs in collaboration with development team members.
• Implement development processes, coding best practices, and conduct code reviews for production environments.
• Perform other duties as needed.

• Master’s degree (or foreign equivalent) in Data Science, Data Analytics, Statistics, Computer Science, or a related field.
• Minimum of 4 years of experience in related occupations.
• Minimum of 2 years of experience working directly with large language models and transformer‑based architectures such as BERT, RoBERTa, and T5.
• Experience applying LLMs including ChatGPT, GPT‑3.5, Claude, and Mistral to enhance product features.
• Proficiency with big data technologies and tools such as Hadoop, Spark, or AWS.
• Experience with machine learning algorithms, including deep learning, gradient boosting, and random forests, for regression or classification models.
• Advanced programming skills in Python, R, or other relevant languages for data analysis, model development, testing, and deployment.

Salary Range for REQ#R114245: $175,781 to $183,500 per year.

RELX is a global provider of information‑based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results, and be more productive. We are 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.

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