LexisNexis Legal & Professional is seeking a Manager, Data Science to develop and deploy advanced AI and machine learning models to solve complex business problems and improve productivity in the legal market.
Requirements
- 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
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
Other
- Have substantial experience in a senior data scientist role
- Experienced in leading complex projects and customer relationships
- 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
- PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field
