> Markdown version of [/jobs/ext/4672134-senior-data-scientist-quantumblack-ai-by-mckinsey](https://www.wearedevelopers.com/jobs/ext/4672134-senior-data-scientist-quantumblack-ai-by-mckinsey). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - QuantumBlack, AI by McKinsey - **Company:** McKinsey & Company - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $175,500 - $180,000 - **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/18886780/Senior-Data-Scientist-Quantumblack-Ai-By-Mckinsey-Illinois-Chicago ## 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 * 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 ## Description Please review the additional requirements regarding essential job functions of McKinsey colleagues. Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve. Industries Capabilities