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About the Role

As a Senior Data Scientist II, you will focus on search relevance, creating next-generation techniques to improve how users find answers to research questions. You will collaborate across teams, mentor junior staff, and drive best practices while leveraging cutting-edge AI and machine learning technologies.

Responsibilities

• Solve complex problems in natural language processing, machine learning, and information retrieval.
• Research, build, and deploy models using shallow and deep machine learning.
• Train robust NLP-based models on large corpora of news and financial data.
• Apply machine learning techniques to improve search algorithms.
• Drive best practices for NLP and machine learning pipelines.
• Maintain knowledge of state-of-the-art ML algorithms, APIs, and open-source methods.
• Translate complex business requirements into actionable stories with time estimates.
• Collaborate with product leaders to apply data science solutions.
• Support the development and training of junior staff.

Requirements

• Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• 5+ years of experience using NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, and spaCy.
• Proficiency in big data technologies including Hadoop, Spark, or AWS.
• Advanced programming skills in Python, R, or other relevant languages.
• Experience working with large language models and transformer-based architectures like BERT, RoBERTa, and T5.
• Experience using machine learning packages such as scikit-learn, pandas, and NumPy.
• Knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, and Mistral.
• Experience with machine learning algorithms including deep learning, gradient boosting, and random forests.
• Ability to lead and mentor junior data scientists.
• Strong problem-solving and cross-functional collaboration skills.

Skills

• Natural Language Processing (NLP)
• Machine Learning
• Information Retrieval
• Python
• R
• Hadoop
• Spark
• AWS
• Large Language Models (LLMs)
• Deep Learning
• Data Analysis

Experience Level

• 5+ years

Education Level

• Master's degree

Salary/Compensations

• $104,900 - $174,700

Benefits

• Annual incentive bonus
• Country-specific benefits

About the Company

• LexisNexis Legal & Professional is part of RELX, a global provider of information-based analytics and decision tools.
• Serves customers in over 150 countries with 11,800 employees.
• Leader in deploying AI and advanced technologies to the legal market.

Equal Opportunity

• 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.