Senior Data Scientist — AI/ML R&D Leader

McKinsey; Chicago (IL); On-site; USD 217,000 - 220,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Retirement contributions

Parental leave

Job summary

McKinsey & Company seeks a senior data science leader to tackle complex data challenges, build advanced models, and deliver measurable impact for clients. You will mentor teams, drive cutting-edge ML/AI research, and shape the QuantumBlack R&D roadmap across North America.

You will work with world-class data scientists, engineers, and product managers in a dynamic, growth-focused environment that emphasizes innovation and ethical practice. Travel to client sites is expected as needed.

Qualifications

• Bachelor/Master/PhD in CS, ML, applied stats, math, eng or AI.
• 10+ years in distributed computing, ML and statistics.
• Programming in Python, R, Scala, SQL.
• Experience with Docker/Kubernetes and data pipelines.
• Client-facing experience in data warehousing/ML contexts.
• Willingness to travel and work cross-functionally.
• Strong presentation and communication skills.

Responsibilities

• Tackle complex data challenges and develop models.
• Mentor others and collaborate with cross-functional teams.
• Develop data science solutions to improve client performance.
• Lead ML/AI R&D initiatives and contribute to research roadmap.
• Collaborate with leadership, client executives, and technical experts.

Skills

Distributed computing

Machine learning

Python

SQL

Education

Bachelors/Masters/PhD

Tools

PySpark

Databricks

Kedro

Docker

Kubernetes

NoSQL

Job description

McKinsey & Company seeks a senior data science leader to tackle complex data challenges, build advanced models, and deliver measurable impact for clients. You will mentor teams, drive cutting-edge ML/AI research, and shape the QuantumBlack R&D roadmap across North America.

You will work with world-class data scientists, engineers, and product managers in a dynamic, growth-focused environment that emphasizes innovation and ethical practice. Travel to client sites is expected as needed.