Manager Data Science

Remitly•Raleigh, NC

About The Position

LexisNexis Legal & Professional is seeking a Manager, Data Science to lead the development and application of machine learning and generative AI across their content ecosystem. This role is central to the company's transformation towards an intelligent, agentic content platform, requiring close partnership with engineering, architecture, and product teams to integrate AI into large-scale content pipelines and platforms. The Manager will lead a team of data scientists and applied ML engineers to drive innovation in areas such as content enrichment, document understanding, metadata systems, and AI-powered product capabilities, significantly shaping how AI transforms platforms, workflows, and customer experiences.

Requirements

3+ years of people management experience.
7+ years of experience in data science, machine learning, or applied AI.
Excellent communication skills and the ability to convey information clearly to senior stakeholders.

Nice To Haves

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.
Strong background in NLP, information extraction, or knowledge systems.
Experience deploying ML/AI solutions into production at scale.
Proficiency in Python and modern ML frameworks.
Experience working with large-scale data platforms (e.g., AWS-based systems).
Experience with LLMs and generative AI applications (RAG, summarization, document understanding).
Familiarity with structured + unstructured data pipelines.
Experience in content-rich domains (legal, publishing, knowledge systems).
Knowledge of taxonomy, ontology, or metadata-driven systems.
Experience integrating ML into complex, multi-stage processing pipelines.

Responsibilities

Leading development of advanced AI Agentic tech.
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.
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.