Senior Data Scientist — AI/ML R&D Leader

McKinsey; San Francisco (CA); On-site; USD 217,000 - 220,000; Full time

Job summary

McKinsey & Company in the United States is seeking a high-level data scientist to tackle complex data challenges, develop advanced models, and create impactful solutions to optimize client performance across diverse industries.

You will mentor others, contribute to cutting-edge R&D, collaborate with world-class teams, and influence client recommendations through AI-driven insights. The role centers on shaping the QuantumBlack, AI by McKinsey roadmap and advancing deep learning research.

Qualifications

• Bachelor’s, Master’s or PhD in computer science, machine learning, statistics, mathematics, engineering or AI.
• 10+ years of deep technical experience in distributed computing, machine learning and statistics.
• Programming in Python, R, Scala, SQL.
• Knowledge of distributed computing or NoSQL technologies is a plus.
• Proven application of analytical, data science and statistical methods in the real world.
• Client-facing skills and collaboration in data warehousing or ML topics.
• Experience with Python, PySpark, PyData stack, SQL, Airflow, Databricks, Kedro, Docker, Kubernetes, cloud platforms.

Responsibilities

• Tackle complex data challenges, develop advanced models, and create solutions to optimize client performance across industries.
• Mentor others, contribute to cutting-edge R&D, and collaborate with world-class talent to foster innovation.
• Develop data science solutions and write optimized code to influence client recommendations.
• Shape the QuantumBlack, AI by McKinsey R&D roadmap and contribute to deep learning and ML research.
• Deliver measurable business impact by uncovering insights from complex data.

Skills

Distributed computing

Machine learning

Statistics

Python

R

Scala

SQL

Communication

Travel

Leadership

Education

Bachelor’s/Master’s/PhD in CS/ML/Math/Engineering/AI

Tools

Python

PySpark

PyData stack

SQL

Airflow

Databricks

Kedro

Docker

Kubernetes

AWS

GCP

Azure

Job description

McKinsey & Company in the United States is seeking a high-level data scientist to tackle complex data challenges, develop advanced models, and create impactful solutions to optimize client performance across diverse industries.

You will mentor others, contribute to cutting-edge R&D, collaborate with world-class teams, and influence client recommendations through AI-driven insights. The role centers on shaping the QuantumBlack, AI by McKinsey roadmap and advancing deep learning research.