Senior Data Scientist II
hackajob · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Solve complex NLP and ML problems.
- Build and deploy large-scale models.
- Collaborate with cross-functional teams.
- Develop data extraction and structuring.
- Mentor junior data scientists.
About the role
About hackajob and LexisNexis
hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role.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?
About Our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. 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. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).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.Location and Compensation
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. This job is eligible for an annual incentive bonus.Benefits and Inclusivity
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.
Key skills/competency
- Natural Language Processing (NLP)
- Machine Learning
- Python
- Data Science
- Deep Learning
- Information Retrieval
- Data Extraction
- Classification
- Regression
- AWS
Skills & topics
- Data Scientist
- Senior Data Scientist
- Machine Learning
- NLP
- Python
- Data Science
- Deep Learning
- AWS
- Information Retrieval
- Classification
How to get hired
- Tailor your resume: Highlight Python, NLP, machine learning, and AWS experience. Quantify achievements.
- Craft a compelling cover letter: Express enthusiasm for LexisNexis and solving complex data problems.
- Prepare for technical interviews: Brush up on ML algorithms, NLP techniques, and Python coding.
- Showcase collaboration skills: Emphasize teamwork and mentorship experience in your application.
Technical preparation
Master Python ML/data science libraries.,Practice NLP techniques and frameworks.,Build and evaluate deep learning models.,Demonstrate AWS cloud deployment skills.
Behavioral questions
Describe a complex data problem you solved.,How do you mentor junior team members?,How do you translate business needs to tech stories?,Share an experience collaborating cross-functionally.
Frequently asked questions
- What are the primary responsibilities of a Senior Data Scientist II at LexisNexis?
- As a Senior Data Scientist II on the Yoda team at LexisNexis, you will focus on solving complex problems in natural language processing, machine learning, and information retrieval. This includes developing and deploying machine learning models, designing NLP pipelines, and partnering with stakeholders to apply data science solutions to business challenges. You'll also contribute to best practices and mentor junior team members.
- What technical skills are essential for this Senior Data Scientist II role at LexisNexis?
- Essential technical skills include a strong understanding of machine learning techniques (classification, regression, etc.), hands-on Python experience with libraries like scikit-learn and pandas, proficiency in NLP tools and methods, experience with deep learning frameworks (TensorFlow, PyTorch), and familiarity with AWS cloud services. SQL programming and experience with complex data models are also required.
- What is the work arrangement for the Senior Data Scientist II position with LexisNexis?
- This role is primarily home-based in Illinois, offering flexible working hours. While the primary location is listed as home-based in Illinois, there is also a specific mention of Chicago, IL, suggesting potential for hybrid or on-site work in that location, though the description emphasizes flexibility and remote work capabilities.
- What is LexisNexis' approach to AI and generative models?
- LexisNexis is a leader in deploying AI and advanced technologies in the legal market. They utilize a flexible, multi-model approach for generative AI solutions, prioritizing the best model for each use case and adhering to RELX Responsible AI Principles. They employ over 2,000 technologists and data scientists for these efforts.
- What are the preferred qualifications for the Senior Data Scientist II role at LexisNexis?
- Preferred qualifications include experience with large language models (LLMs) and generative AI workflows, entity extraction, taxonomy management, knowledge graphs, or data enrichment. Experience working with large-scale legal, news, financial, or business data, along with familiarity with MLOps practices and model monitoring, is also highly valued.
- How does LexisNexis support employee well-being and career growth?
- LexisNexis promotes a healthy work-life balance with numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals. They aim to support both immediate responsibilities and long-term career goals, offering country-specific benefits and flexible working hours to enhance employee well-being and happiness.