Senior Data Scientist III

RemitlyRaleigh, NC
11d

About The Position

About our Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, 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. About the Role: Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high standards? Senior Data Scientists III are emerging subject matter experts in their domain, who define projects and their execution. While they may have small teams of indirect reports, they lead through influence and their focus is on mentoring teams to develop and execute on best practices and methodologies.

Requirements

  • Master's degree plus 7-10 years of work-related experience OR PhD with 6+ years of work-related experience.
  • Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
  • Proficient 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.

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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