Senior Data Scientist II (Remote)

Responsibilities:Leading the development of advanced AI and machine learning models to solve complex business problems.Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.Analyzing large datasets to identify patterns and trends that can inform AI development.Communicating findings and insights to stakeholders in a clear and concise manner.Staying current with the latest AI and machine learning trends and technologies.Mentoring junior data scientists and providing guidance on AI and machine learning best practices.Driving best practices across our data science functions.Setting strategy and team direction, with a clear vision for Data Science.Working with product leaders to apply data science solutions.Setting a high bar for model development.Requirements:Considerable experience in a senior data scientist role.Strong programming skills.Ability to work independently with little handholding.Experience working in complex projects and customer relationships.A natural problem solver, able to take a lead in collaborating to resolve issues.Excellent communication skills and the ability to convey information clearly to senior stakeholders.Experience in mentoring or training others, acting as a subject matter expert to guide colleagues.Strong desire to deliver results.Highly Desired Skills and Experience:PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.4+ years of experience in machine learning, deep learning, natural language processing.Experience in building, engineering, and deploying machine learning-based solutions.Deep understanding of machine learning algorithms, including deep learning.Experience working directly with large language models and Transformer-based architectures.Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.Experience with reinforcement learning, prompt engineering, and hallucination mitigation.Working understanding of the business risks associated with applying LLM in a business context.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.LexisNexis, a division of RELX Group, is 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. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form:

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