Data Scientist: Generative AI & Knowledge Graphs

McKinsey & Company; New York (NY); On-site; USD 175,500 - 180,000; Full time

Job summary

McKinsey & Company seeks a data scientist to blend analytics with semantic modeling, transforming data into actionable intelligence that informs products and strategy. You will design predictive models, run experiments, and help define ontology and knowledge graphs to contextualize enterprise data; collaborate with engineers and domain experts to operationalize models at scale.

Join a cross-functional team delivering generative AI automations and production pipelines, leveraging multimodal LLMs

Qualifications

• US Citizenship required
• Defense experience and experience working with data at various classification levels required
• SECRET Security Clearance Required; TS+ clearance preferred
• 3+ years of experience as a Data Scientist; Previous enterprise platform experience preferred
• Deep theoretical and practical knowledge of NLP, Transformers, LLMs, and Generative AI
• Required experience with OpenAI's GPT suite, including previous experience with their multimodal LLMs: GPT4V, GPT4o
• Theoretical understanding of how LLMs can be leveraged to build classification models, re-rankers, and recommendation systems
• Strong programming skills: well-versed with building end-to-end data models and pipelines in Python according to the best engineering practices
• Experience managing a Git repository - maintaining effective version control with organized & clean branching strategies
• Experience with knowledge graphs

Responsibilities

• Blend advanced analytics with semantic modeling to transform raw data into actionable intelligence that shapes products and business strategy.
• Design predictive models, run large scale experiments, and surface insights, while also helping define ontologies and knowledge graphs that connect and contextualize enterprise data.
• Partnering with engineers and domain experts, you’ll establish data standards, ensure quality, and operationalize models and graph services at scale.
• Deliver state-of-the-art generative AI automations with the Client Capabilities Network team.
• Develop a generative AI product with firm-wide impact; collaborate with cross-functional teams.
• Work hands-on with multimodal LLMs, conduct experiments and deploy production pipelines that utilize generative models for automating knowledge search, curation, and synthesis processes.

Skills

NLP

Transformers

LLMs

Generative AI

OpenAI GPT suite

GPT4V

GPT4o

Python

Git version control

Knowledge graphs

Education

Bachelor's degree in a related field

Tools

Git

Python

Job description

McKinsey & Company seeks a data scientist to blend analytics with semantic modeling, transforming data into actionable intelligence that informs products and strategy. You will design predictive models, run experiments, and help define ontology and knowledge graphs to contextualize enterprise data; collaborate with engineers and domain experts to operationalize models at scale.

Join a cross-functional team delivering generative AI automations and production pipelines, leveraging multimodal LLMs