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# Principal Data Scientist - QuantumBlack, AI by McKinsey

- **Company:** McKinsey & Company
- **Location:** Newark, NJ, United States
- **Experience:** Expert
- **Salary:** $216,700 - $220,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Computer Programming, Data Warehousing, Distributed Systems, Python (Programming Language), Machine Learning, NoSQL, Cloud Services, Standard Sql, SQL Databases, Google Cloud, Containerization, Pyspark, Information Technology, Dask, Docker, Databricks
- **Published:** November 11, 2026
- **Apply:** https://diversityjobs.com/career/18886770/Principal-Data-Scientist-Quantumblack-Ai-By-Mckinsey-New-Jersey-Newark

## About the Role

* Bachelors, master's or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
 * 10+ years of deep technical experience in distributed computing, machine learning and statistics related work
 * Programming experience in languages such as 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. 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.
 * Thought leadership or people leadership experience (e.g. managed project teams or direct reports)
 * Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.
 * 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