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# Senior Data Scientist - Life Sciences.AI

- **Company:** McKinsey & Company
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $176,000.0 - $179,500.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Artificial Neural Networks, Computer Vision, Microsoft Azure, Computer Programming, Data Warehousing, Github, Graph Database, Python (Programming Language), Machine Learning, NumPy, Cloud Services, Tensorflow, SQL Databases, Google Cloud, Pytorch, Deep Learning, Keras, Pandas, Matplotlib, Containerization, Pyspark, Scikit Learn, Information Technology, Statistics Packages, Production Code, Dask, Software Version Control, Docker, Databricks
- **Published:** September 15, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18298675?backUrl=%2Fcareer%2F18298675%2FSenior-Data-Scientist-Life-Sciences-Ai-North-Carolina-Charlotte

## About the Role

* Master's or PhD level in a discipline such as computer science, machine learning, applied statistics, mathematics, engineering, or artificial intelligence
 * 5+ years of deep technical experience in machine learning, knowledge graphs, agents, evaluation frameworks for agentic outputs, graph neural networks, deep learning, computer vision, and statistics-related work
 * Strong programming experience in Python and the relevant analytics libraries, such as pandas, NumPy, matplotlib, scikit-learn, statsmodels, PyMC, PyTorch/TensorFlow/Keras, LangChain, and LangGraph
 * Ability to write production-grade code and experience with version control, such as GitHub
 * While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, 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
 * Client-facing skills, e.g., working in close-knit teams on topics such as data warehousing and machine learning
 * Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
 * Demonstrated leadership, either thought leadership or people leadership, e.g., managing project teams or direct reports
 * Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
 * Willingness and ability to travel for work
 * Strong communication skills, both verbal and written, in English, with 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

 * High Tech
 * Life Sciences


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