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 provide 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: Have considerable experience in a senior data scientist role Strong programming skills Ability work independently with little handholding. Have experience working in complex projects and customer relationships 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 Have 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, deployment of machine learning based solutions. Deep understanding of machine learning algorithms, including deep learning, Natural 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, 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 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: , or please contact 1-. Please read our Candidate Privacy Policy . #J-18808-Ljbffr
Natural language processing (NLP) mathematics statistics Artificial intelligence (AI) Data Science Python Apache Spark Computer Science Communication reinforcement-learning deep-learning Mentoring Machine Learning deployment Engineering Hadoop algorithms Software Developer