Senior Data Scientist, AI Innovation & ML Impact

McKinsey; New York (NY); On-site; USD 217,000 - 220,000; Full time

Benefits offered by this job

Competitive salary

Global community

Structured learning programs

Job summary

McKinsey's QuantumBlack, AI by McKinsey in North America seeks a senior data scientist to tackle complex data challenges, develop advanced models, and influence client recommendations across industries. You will mentor teams, contribute to R&D, and apply cutting-edge ML/AI methods to drive measurable impact.

You will collaborate with data scientists, data engineers, designers, and product managers, shaping a roadmap and delivering real-world business value while growing as a technologist and

Qualifications

• Bachelor's, master's or PhD in a relevant technical field.
• Strong experience in distributed computing, ML and statistics applied to business problems.

Responsibilities

• Tackle complex data challenges and develop advanced models.
• Influence client recommendations with data science solutions.
• Mentor teams and contribute to R&D in AI/ML.
• Lead development and application of ML/AI solutions to drive business impact.

Skills

Python

R

Scala

SQL

Distributed computing

Education

Bachelor's, Master's or PhD in CS/ML/Statistics/Mathematics/Engineering/AI

Tools

Databricks

Docker

Kubernetes

Airflow

Kedro

Job description

McKinsey's QuantumBlack, AI by McKinsey in North America seeks a senior data scientist to tackle complex data challenges, develop advanced models, and influence client recommendations across industries. You will mentor teams, contribute to R&D, and apply cutting-edge ML/AI methods to drive measurable impact.

You will collaborate with data scientists, data engineers, designers, and product managers, shaping a roadmap and delivering real-world business value while growing as a technologist and