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# Principal Data Scientist - Scientific.AI

- **Company:** McKinsey & Company
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $214,100.0 - $217,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Code Review, Computer Programming, Github, Graph Database, Python (Programming Language), Machine Learning, NumPy, Object-Oriented Software Development, Surrogate Models, Deep Learning, Pandas, Matplotlib, Scikit Learn, Information Technology, Production Code, Software Version Control
- **Published:** November 4, 2026
- **Apply:** https://diversityjobs.com/career/18829392/Principal-Data-Scientist-Scientific-Ai-Massachusetts-Boston

## About the Role

* Master's degree with 8+ years or PhD degree with 7+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research
 * ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision
 * Strong programming experience in python (R, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, stats models, pymc, pytorch/tf/keras, langchain)
 * Proven experience applying machine learning techniques to solve business problems
 * Experience leading teams of at least 3 people
 * Experience with version control (GitHub)
 * Ability to write production code and object-oriented programming, and conduct detailed code reviews when needed
 * Proven track record of end-to-end ownership of independent workstreams
 * Proven experience advising external parties and/or functions
 * Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
 * Good presentation and communication skills (both verbal and written), with the ability to explain complex analytical concepts to people from other fields/non-technical stakeholders

## Description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT
You will tackle complex data challenges, develop advanced models, and create impactful solutions to optimize client performance.
You'll mentor others and collaborate with world-class talent in a dynamic environment that fosters innovation and growth.
Your work will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will bring distinctive statistical, machine learning, and AI competency to complex client problems.
You will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. You will work in a multi-disciplinary team and build the firm's reputation in your area of expertise. You will ensure statistical validity and outputs of analytics, AI/ML models, and translate results for senior stakeholders. You will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment.
You'll be working in one of our offices in North America in our Life Sciences practice as a part of McKinsey's global Scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). You will work with cutting edge AI teams on research and development topics in a start-up like environment, serving as a Principal Data Scientist in a technology development and delivery capacity. You will be responsible for managing others while also translating technical outputs into actionable recommendations for senior leaders. You will also present findings and implications to executive stakeholders.