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# Senior Data Scientist III

- **Company:** LexisNexis
- **Location:** Raleigh, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, Computer Programming, Apache Hadoop, Python (Programming Language), Machine Learning, Large Language Models, Apache Spark, Deep Learning, Information Technology, Xgboost, GPT
- **Published:** July 25, 2026
- **Apply:** https://relx.wd3.myworkdayjobs.com/LexisNexisLegal/job/Raleigh-NC/Senior-Data-Scientist-III_R97930

## About the Role

* Masters plus 7-10 years of work-related experience OR PhD with 6+ years of work-related experience.
 * Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
 * Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
 * Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
 * Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
 * Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
 * Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
 * Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

## Description

As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members.

Responsibilities

 * Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
 * Leading the development of advanced AI and machine learning models to solve complex business problems.
 * Analyzing large datasets to identify patterns and trends that can inform AI development.
 * Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
 * Evaluating and creating new frameworks and defining methodologies and governance.
 * Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
 * Working with product leaders to apply data science solutions.
 * Leading small- to medium-sized teams (direct or indirect).


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