Level

RELX

Senior Data Scientist III

AI in this role

ml-opsnlp

  • RELX Inc. d/b/a LexisNexis USA
  • Senior Data Scientist III
  • Venture III, 900 Main Campus Drive, Raleigh, NC 27606

 

JOB DESCRIPTION:

  • Contribute to new product development by proposing data-driven solutions for complex customer challenges, using advanced analytical techniques and become subject matter experts. Collaborate with other data scientists and engineers to design cutting-edge AI solutions utilizing leading AI and machine learning model development, analyzing extensive datasets, and guiding junior team members. Work closely with other data scientists and engineers to design, develop, and deploy AI solutions. Lead the development of advanced AI and machine learning models to solve complex business problems. Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models a very large corpus of data. Collaborate with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs. Mentor junior data scientists and provide guidance on AI and machine learning best practices. Design APIs for disseminating data science outputs to various business units. Oversee the scaling of production systems to meet growing demands. Perform other duties as needed.

 

REQUIREMENTS:

  • Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Systems, or a related field required.
  • 3 years of experience in job offered or related occupations required.
  • Also required is: 3 years of experience: using Natural Language Processing (NLP), including Large Language Models (LLMs) to aid computers in retrieving, reading, summarizing, and understanding large amounts of legal text so legal professionals can easily find the information they need; utilizing Machine Learning and Deep Learning to build complex legal reasoning and question answering systems; using Data science and statistical modeling on large, complex datasets to build legal drafting agents that can prepare legal drafts for lawyers; using Design and development of production-grade APIs for AI/ML models to develop predictive models that identify patterns in legal data to predict related cases, recommending relevant authorities, or detecting document types; and using Scalable data/ML systems including distributed computing, cloud platforms, and MLOps.
  • Employee reports to RELX, Inc. d/b/a LexisNexis USA office in Raleigh, NC, but may telecommute from any location within the U.S.
  • Experience can be concurrent.

 

SALARY RANGE FOR REQ# R119639:

  • $179,025.00 to $192,300.00/year + standard company benefits
  • This salary range is specifically for REQ# R119639. Salary range listed below is general and covers all similar positions in the area and should not be considered for this specific position.

 

HOW TO APPLY:


#LI-DNI

#IND-DNS

#ICT


U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.

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How we rate this

Senior Data Scientist III at RELX rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

ML OpsNLP

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. What NLP problem have you worked on, and how did you measure whether it actually worked?
  3. How would you decide a model or AI system is ready to ship?
  4. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: ML Ops and NLP. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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