Senior Data Scientist II

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role.

About Our Team

LexisNexis Legal & Professional, serving customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. The company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law. LexisNexis deploys ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles.

About The Yoda Team

The Yoda team is a small, focused division within LexisNexis responsible for managing core datasets related to people, organizations, and taxonomies. These datasets are published internally and used by teams across the company to build products and deliver customer value. We are looking for a Data Scientist to join our team and help advance our work in data extraction, data structuring, classification, and analysis. This role is ideal for someone who is versatile, collaborative, and excited to solve complex problems using NLP, machine learning, large language models, regression, classification, and information retrieval techniques.

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.

Requirements

• 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.

Preferred Qualifications

• 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 organization. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours allows you to flex the times when you work in the day to fit everything in and work when you are the most productive.

Pay

Base Pay Range: Home based-Illinois $110,100 - $183,500. If performed in Chicago, IL, the base pay range is $115,400 - $192,200. This job is eligible for an annual incentive bonus.