Senior AI & ML Lead — Drive Real-World Impact

McKinsey; San Francisco (CA); On-site; USD 176,000 - 180,000; Full time

Benefits offered by this job

Continuous learning

A voice that matters

Global community

World-class benefits

Job summary

McKinsey is seeking a senior data science leader to develop cutting-edge AI/ML solutions across industries. You will mentor data scientists, shape the QuantumBlack, AI by McKinsey R&D roadmap, and partner with data engineers, ML engineers and product managers to deliver end-to-end analytics solutions that drive measurable impact.

You will be based in one of our North America offices, collaborating with global teams to tackle high-impact projects, influence business outcomes, and advance as a

Qualifications

• Bachelors, master's or PhD in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
• 6+ years of deep technical experience in distributed computing, machine learning and statistics related work
• Programming experience in languages such as: Python, R, Scala, SQL
• Proven application of advanced analytical, data science and statistical methods in the commercial world
• Knowledge of distributed computing or NoSQL technologies is a bonus
• Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
• While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
• Willingness to travel
• Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields and the ability to adjust your style to suit different perspectives and seniority levels

Skills

Python

R

Scala

SQL

Distributed computing

Leadership

Education

Bachelor's/Master's/PhD in CS/ML/Applied Statistics/Math/Engineering/AI

Tools

PySpark

PyData stack

SQL

Airflow

Databricks

Kedro

Dask/RAPIDS

Docker

Kubernetes

AWS

GCP

Azure

Job description

McKinsey is seeking a senior data science leader to develop cutting-edge AI/ML solutions across industries. You will mentor data scientists, shape the QuantumBlack, AI by McKinsey R&D roadmap, and partner with data engineers, ML engineers and product managers to deliver end-to-end analytics solutions that drive measurable impact.

You will be based in one of our North America offices, collaborating with global teams to tackle high-impact projects, influence business outcomes, and advance as a