Manager, Data Science

Jobtailor; Philadelphia (Philadelphia County); On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor is seeking an experienced leader to define and execute AI and data science strategy across ML, NLP, search, and generative AI in Philadelphia. You will build and coach high-performing teams, drive experiments from concept to production, and shape roadmaps with product and business leaders.

You will establish evaluation frameworks, responsible AI standards, and scalable AI/ML systems while collaborating across domains to deliver customer and business impact.

Qualifications

• Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or related field.
• Strong expertise in machine learning, experimentation, deep learning, generative AI, and production AI systems.
• Hands-on experience with LLMs, RAG, semantic search, embeddings, agentic workflows, and knowledge-driven systems.
• Proven success leading and developing technical teams in complex product, platform, or research environments.
• Experience with large, complex datasets and scalable, production-ready AI/ML systems.
• Strong people leadership, prioritization, communication, and stakeholder management skills.

Responsibilities

• Define and lead AI and data science strategy across machine learning, NLP, search, recommendation, experimentation, and generative AI.
• Lead and develop high-performing teams through coaching, prioritization, scientific rigor, and inclusive collaboration.
• Deliver AI and knowledge-discovery systems across the lifecycle from experimentation through production, including LLMs, RAG, search, and domain-enriched AI solutions.
• Establish AI evaluation frameworks, metrics, experimentation practices, and responsible AI standards.
• Partner with product, technology, and business leaders to shape roadmaps and align teams on customer and business impact.

Skills

AI Strategy

Team Leadership

Machine Learning

NLP

Information Retrieval

Experimentation

LLMs

RAG

Semantic Search

Embeddings

Production AI Systems

Stakeholder Management

Inclusive Collaboration

Tools

LLMs

RAG

Semantic Search

Embeddings

Knowledge-Driven Systems

Job description

Define and lead AI and data science strategy across machine learning, NLP, search, recommendation, experimentation, and generative AI
Lead and develop high-performing teams through coaching, prioritization, scientific rigor, and inclusive collaboration
Deliver AI and knowledge-discovery systems across the lifecycle from experimentation through production, including LLMs, RAG, search, and domain-enriched AI solutions
Establish AI evaluation frameworks, metrics, experimentation practices, and responsible AI standards
Partner with product, technology, and business leaders to shape roadmaps and align teams on customer and business impact

Requirements

• Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience
• Strong technical expertise in machine learning, experimentation, deep learning, generative AI, and production AI systems
• Hands-on experience with LLMs, RAG, semantic search, embeddings, agentic workflows, and knowledge-driven systems
• Proven success leading and developing technical teams in complex product, platform, or research environments
• Experience with large, complex datasets and scalable, maintainable, production-ready AI/ML systems
• Strong people leadership, prioritization, communication, and stakeholder management skills

Core Competencies

Demonstrates expertise in AI and data science strategy, focusing on machine learning, NLP, and generative AI. Proven ability to lead high-performing teams and deliver scalable AI solutions while establishing responsible AI standards and evaluation frameworks.

Highest-signal resume keywords

• AI Strategy Development
• Machine Learning Expertise
• NLP Proficiency
• Team Leadership
• Generative AI Implementation

Hard Skills

• Data Science
• Machine Learning
• Deep Learning
• Generative AI
• NLP
• Information Retrieval
• Statistics
• Experimentation
• Large Datasets Management
• Production AI Systems

Soft Skills

• People Leadership
• Prioritization
• Communication
• Stakeholder Management
• Inclusive Collaboration

Industry Keywords

• AI Evaluation Frameworks
• Responsible AI Standards
• Knowledge Discovery Systems
• Scalable AI/ML Systems
• Complex Product Environments

Tools & Technologies

• LLMs
• RAG
• Semantic Search
• Embeddings
• Knowledge-Driven Systems