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About the Role

As a Senior Data Scientist II, you will focus on search and be dedicated to the creation of next-generation search relevance techniques and strategies for LexisNexis, dramatically improving how users search and find the answers to their research questions. This role requires versatility, collaboration across teams, and enthusiasm in tackling new problems as we continue to push technology forward.

Responsibilities

• Support the development and training of junior staff.
• Develop best practices.
• Solve 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 for improving search algorithms.
• Drive best practices for NLP/Machine Learning pipelines.
• Maintain 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

• Possess an advanced or Master's education 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, spaCy.
• Proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
• Possess advanced programming skills in Python, R, or other relevant languages for data analysis.
• Experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
• Proficient in working with big data technologies and tools.
• Experience using Machine Learning and associated packages like scikit-learn, pandas, NumPy.
• Experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
• A natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
• Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.

Skills

• Natural Language Processing (NLP)
• Machine Learning (ML)
• Information Retrieval
• Topical Classification
• Sentiment Analysis
• User Intent Detection
• Shallow Machine Learning
• Deep Machine Learning
• NLP-based Models
• Search Algorithms
• NLP/Machine Learning Pipelines
• ML Algorithms (BERT, ELMo, GPT)
• APIs
• Open-source Methods
• Python
• R
• Big Data Technologies (Hadoop, Spark, AWS)
• Large Language Models (LLMs)
• Transformer-based Architectures (BERT, RoBERTa, T5)
• Scikit-learn
• Pandas
• NumPy
• ChatGPT
• GPT 3.5
• Claude
• Mistral
• Deep Learning
• Gradient Boosting
• Random Forests

Location

• USA

Work Type

• Full-time

Experience Level

• Senior
• 5+ years

Education Level

• Advanced or Master's degree in Computer Science, Mathematics, Statistics, or a related field

Salary/Compensations

• Base Pay Range: $104,900 - $174,700
• Eligible for an annual incentive bonus

Benefits

• Country specific benefits

About the Company

• LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world.
• We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices.
• We assist corporations in better understanding their markets and preventing bribery and corruption within their supply chains.
• We partner with leading global associations and customers to help collect evidence against war criminals and provide tools to combat human trafficking.
• We endeavour to advance the rule of law across the world.
• Our teams are combining unparalleled legal and business information with analytics and technology to advance what’s possible for the way our customers work and to advance what’s possible in the world by strengthening the rule of law.

Equal Opportunity

• 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.