LexisNexis is looking to hire a Manager, Data Science to lead the development and deployment of advanced AI and machine learning models to solve complex business problems, improve decision-making, and increase productivity for their customers.
Requirements
- 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
- 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
- Analyzing large datasets to identify patterns and trends that can inform AI development
- Staying current with the latest AI and machine learning trends and technologies
- Driving best practices across our data science functions
- Evaluating and creating new frameworks and defining methodologies and governance
- Setting a high-bar for model development
Other
- Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies.
- 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
