Senior Data Scientist, AI & ML for Real-World Impact

McKinsey

Atlanta (GA)

On-site

USD 217,000 - 220,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
Comprehensive benefits package
Global experience across North America

Job summary

McKinsey’s QuantumBlack, AI by McKinsey offers a data science career focused on solving complex business problems with advanced machine learning and analytics. You will shape models, contribute to R&D, and work with a world-class team on interdisciplinary projects.

Based in North America, you’ll mentor colleagues, develop impactful solutions, and help transform client operations with practical AI applications and robust data-driven insights.

Qualifications

  • Bachelor’s, master’s or PhD in computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
  • 10+ years of deep technical experience in distributed computing, machine learning and statistics
  • Programming experience in Python, R, Scala, SQL
  • Knowledge of distributed computing or NoSQL technologies is a plus
  • Proven application of advanced analytical, data science and statistical methods in the commercial world
  • Client-facing skills (e.g. data warehousing, machine learning)
  • Familiar with 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 environments
  • Willingness to travel
  • Strong presentation and communication skills to explain complex concepts

Responsibilities

  • Tackle complex data challenges and develop advanced models to optimize client performance
  • Mentor others and contribute to cutting-edge R&D
  • Develop data science solutions and write optimized code to influence client recommendations
  • Shape the QuantumBlack R&D roadmap and contribute to deep learning and ML research
  • Collaborate with data scientists, engineers, designers, and product managers to deliver measurable business impact

Skills

Distributed computing
Machine learning
Statistics
Python
R
Scala
SQL
Data warehousing
Cloud (AWS/GCP/Azure)
PySpark
PyData stack
Airflow
Databricks
Kedro
Docker
Kubernetes
Travel
Presentation

Education

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

Tools

Python
PySpark
PyData stack
SQL
Airflow
Databricks
Kedro
Dask/RAPIDS
Docker
Kubernetes
AWS
GCP
Azure

Job description

McKinsey’s QuantumBlack, AI by McKinsey offers a data science career focused on solving complex business problems with advanced machine learning and analytics. You will shape models, contribute to R&D, and work with a world-class team on interdisciplinary projects.

Based in North America, you’ll mentor colleagues, develop impactful solutions, and help transform client operations with practical AI applications and robust data-driven insights.

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