Principal Data Scientist — AI/ML Strategy & Impact

McKinsey; Washington (District of Columbia); On-site; USD 217,000 - 220,000; Full time

Benefits offered by this job

Competitive salary

Medical, mental health, dental and vis

Telemedicine

Life, accident and disability

Retirement contributions

Paid time off

Parental leave

Job summary

McKinsey’s QuantumBlack AI by McKinsey team in North America seeks a seasoned data science leader to tackle complex data challenges, develop advanced models, and influence client outcomes. You will mentor peers, contribute to R&D, and collaborate with world-class technologists across the firm.

Based in a North America office, you will work with data scientists, engineers, designers, and product managers to drive measurable business impact, harnessing ML/AI to transform client operations and

Qualifications

• Bachelor's/Master's/PhD in CS, ML, statistics, math, engineering or AI
• 10+ years of deep technical experience in distributed computing, ML and statistics
• Programming in Python, R, Scala, SQL
• Knowledge of distributed computing or NoSQL helpful
• Applied analytical, data science and statistical methods in business
• Client-facing skills (data warehousing, ML)
• Proficiency with: Python, PySpark, PyData stack, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, AWS, GCP, Azure
• Thought leadership or people leadership experience
• Excellent time management in autonomous work environments
• Willingness to travel
• Strong presentation and communication skills

Responsibilities

• Tackle complex data challenges and develop advanced models to optimize client performance
• Mentor others and contribute to cutting-edge R&D and interdisciplinary collaboration
• Develop data science solutions and write optimized code to influence client recommendations
• Shape the QuantumBlack, AI by McKinsey R&D roadmap and advance ML/AI research
• Collaborate with global teams to deliver measurable business impact
• Lead development and application of cutting-edge ML/AI solutions to drive value

Skills

Distributed computing

Machine learning

Statistics

Python

R

Scala

SQL

Databricks

Docker

Kubernetes

AWS

GCP

Azure

NoSQL

Data warehousing

Communication skills

Travel willingness

Leadership

Education

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

Tools

Python

PySpark

Databricks

Kedro

Docker

Kubernetes

Airflow

SQL

Job description

McKinsey’s QuantumBlack AI by McKinsey team in North America seeks a seasoned data science leader to tackle complex data challenges, develop advanced models, and influence client outcomes. You will mentor peers, contribute to R&D, and collaborate with world-class technologists across the firm.

Based in a North America office, you will work with data scientists, engineers, designers, and product managers to drive measurable business impact, harnessing ML/AI to transform client operations and