Principal Data Scientist I

Relx - Cambridge, MA

Full-time - Senior

Remote - Cambridge, MA

10,001+ employees

Management of Companies and Enterprises

About the position

As a Principal Data Scientist at LexisNexis, you will serve as a subject matter expert, leading the development and deployment of advanced AI and machine learning models. This role involves mentoring junior data scientists, collaborating with cross-functional teams, and ensuring that AI solutions align with business goals. You will be responsible for analyzing large datasets, communicating insights to stakeholders, and driving best practices within the data science function.

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
• Evaluating and creating new frameworks and defining methodologies and governance
• Leading small- to medium-sized teams (direct or indirect)
• Setting a high-bar for model development

Requirements

• Have substantial experience in a senior data scientist role
• 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
• Have excellent communication skills and the ability to convey information clearly to senior stakeholders

Nice-to-haves

• PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field
• 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
• 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

Benefits

• Comprehensive, multi-carrier health plan benefits
• Disability insurance
• Dependent care and commuter spending accounts
• Life and accident insurance
• Retirement benefits (salary investment plan/employer stock purchase plan)
• Modern family benefits, including adoption and surrogacy