Manager Data Science (AI)

Location: Philadelphia, PA, United States

Salary: $115,400–$192,300 annual U.S. national base pay. Geographic differentials may apply, including higher ranges for Maryland, New York, New York City, and New Jersey. Eligible for an annual incentive bonus.

Company

hirify.global develops products and intelligent systems that help researchers, clinicians, educators, and institutions discover, evaluate, and apply scientific knowledge.

What you will do

• Lead, develop, and coach teams of data scientists, machine learning engineers, researchers, and technical contributors.
• Define and execute data science strategies for scientific discovery, research intelligence, and knowledge-access products.
• Drive AI-powered capabilities across search, retrieval, recommendation, NLP, knowledge systems, and generative AI.
• Translate complex customer, scientific, and business challenges into scalable solutions with measurable outcomes.
• Set standards for experimentation, model evaluation, quality, reliability, explainability, and responsible AI.
• Partner with Product, Engineering, Research, UX, Analytics, and scientific domain experts to shape strategy and delivery.

Requirements

• Significant experience leading data science, machine learning, artificial intelligence, NLP, information retrieval, or related technical teams.
• Proven experience building, coaching, and developing high-performing teams in complex technology or product environments.
• Technical expertise in machine learning, generative AI, large language models, retrieval systems, experimentation, and model evaluation.
• Experience delivering AI-powered products or platforms from concept through production deployment and measurable impact.
• Deep understanding of LLMs, RAG architectures, semantic search, embeddings, knowledge systems, and evaluation frameworks.
• Strong communication and stakeholder-management skills, including the ability to influence technical, product, and executive audiences.

Culture & Benefits

• Work focused on advancing science, expanding access to knowledge, and improving healthcare and research outcomes.
• Emphasis on scientific rigor, collaboration, innovation, continuous learning, and developing people.
• Country-specific benefits are available.
• Accessibility accommodations are available throughout the hiring process.