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Senior Data Scientist II

Job in High Point, Guilford County, North Carolina, 27264, USA
Listing for: LexisNexis Risk Solutions
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 104900 - 174700 USD Yearly USD 104900.00 174700.00 YEAR
Job Description & How to Apply Below

About the Role

We are seeking a Senior Data Scientist II to help lead the design and validation of Agentic AI‑driven product capabilities within the legal domain. This role focuses on defining what to build and why—leveraging machine learning, NLP, and large language models (LLMs) to solve complex legal workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer‑facing solutions.

Responsibilities
  • Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
  • Define agentic workflows and reasoning strategies for multi‑step legal tasks.
  • Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
  • Analyze large‑scale legal datasets to extract insights and improve model performance.
  • Establish best practices for model evaluation, validation, and benchmarking.
  • Translate experimental results into clear product recommendations and business impact.
  • Collaborate with product, legal experts, and engineers to align solutions with user needs.
  • Mentor team members and provide technical leadership in data science and AI.
Requirements
  • Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).
  • Strong experience in machine learning, NLP, and LLM‑based modeling.
  • Strong experience designing and running experiments, including model evaluation and iteration.
  • Strong coding skills with proficiency in Python and data analysis tools.
  • Experience with generative AI techniques (e.g., prompt engineering, RAG).
  • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.
  • Experience designing agentic workflows and reasoning strategies, with hands‑on experience applying agent frameworks (e.g., Lang Chain, Lang Graph, Auto Gen) in real‑world use cases.
  • Strong foundation in statistics, modeling, and large‑scale text processing.
Compensation

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply. This position is eligible for an annual incentive bonus.

Benefits
  • Comprehensive medical, dental, and vision coverage.
  • 401(k) with company match and an Employee Share Purchase Plan.
  • Wellness platform with Headspace subscription and Employee Assistance Program.
  • Short‑ and long‑term disability, life, accidental death, critical illness, and hospital indemnity coverage.
  • Family benefits including bonding, family care leaves, adoption, and surrogacy benefits.
  • Health Savings, Health Care, Dependent Care, and Commuter Spending Accounts.
  • Paid leave to participate in employee resource groups or volunteer work.

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. EEO Know Your Rights apply.

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Position Requirements
10+ Years work experience
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