Senior Data Scientist II
- Role
- Data Science
- Experience
- Senior
- Employment
- Full-time
- Company size
- Enterprise
Open to US only. Set where you work from to check your eligibility.
No BS summary
Senior data scientist with strong NLP and ML experience (including LLMs), 5+ years coding in Python/Java/Scala, experienced deploying models at scale in cloud (preferably AWS). Must be able to design NLP pipelines, work with large legal/news/financial corpora, and mentor junior team members. US-based / Home-based in Illinois pay bands provided.
Core skills
Required skills
Optional skills
Senior Data Scientist II 7 Locations Are you excited to solve complex data science problems using NLP, machine learning, and large-scale data? Do you enjoy collaborating with others to build impactful data products that power real-world applications? Our 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, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. 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 As a Senior Data Scientist II on the Yoda team, you will: 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. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. 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 Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. Primary Location Base Pay Range: Home based-Illinois $110,100 - $183,500. If performed in Chicago, IL, the base pay range is $115,400 - $192,200.U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . 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. USA Job Seekers: EEO Know Your Rights . Posted: 2026-08-03T00:00:00.000Z
What you'll do
- 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.
What they require
- 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.
Benefits
- Annual incentive bonus eligibility
- Country specific benefits (click for location-specific details)
- Wellbeing initiatives
- Shared parental leave
- Study assistance
- Sabbaticals
- Flexible working hours
- Annual incentive bonus eligible.
- Country specific benefits (link provided for location-specific benefits).
- Wellbeing initiatives, shared parental leave, study assistance and sabbaticals.
- Accommodation for applicants with disabilities (Applicant Request Support Form and phone contact).
- Equal opportunity employer statement.
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world.