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Manager Data Science

LinkedIn LexisNexis Raleigh, NC
Not Applicable Posted April 4, 2026 Job link
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Requirements
  • Setting a high-bar for model development
  • Have substantial experience in a senior data scientist role
  • Have experience in leading complex projects and customer relationships
  • Have significant experience in managing larger Technical teams (direct or indirect)
  • Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues
  • Be a natural problem solver, able to take a lead in collaborating to resolve issues
  • Have excellent communication skills and the ability to convey information clearly to senior stakeholders
  • 7-10+ years of experience in AI and machine learning
  • Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests
  • Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
  • Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
  • Experience with reinforcement learning, prompt engineering, hallucination mitigation
  • Working understanding of the business risks associated with applying LLM in a business
  • Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
  • Strong coding skills in Python or another programming language
  • Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
  • Strong problem-solving skills and the ability to think outside the box
Preferred Skills
  • 7-10+ years of experience in AI and machine learning
  • Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests
  • Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
  • Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
  • Experience with reinforcement learning, prompt engineering, hallucination mitigation
  • Working understanding of the business risks associated with applying LLM in a business
  • Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
  • Strong coding skills in Python or another programming language
  • Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
Education
  • (Not required) – PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field