Lead Data Scientist, Scientific AI in Life Sciences

McKinsey; Newark (NJ); On-site; USD 214,000 - 218,000; Full time

Job summary

McKinsey & Company in the United States is seeking a Principal Data Scientist to advance the firm's Scientific AI offering, focusing on Life Sciences and chemistry & materials applications. The role involves building and deploying ML models, mentoring colleagues, and collaborating with client delivery teams.

You will contribute to internal knowledge, prototype development, and the deployment of analytical methods, translating findings for executive stakeholders and establishing scalable AI

Qualifications

• Master's or PhD with strong research experience in statistics or ML.
• Experience applying ML to life sciences problems.
• Ability to lead teams and communicate with stakeholders.
• Proven end-to-end ownership of data science projects.

Responsibilities

• Develop advanced ML models and AI pipelines.
• Collaborate with cross-functional teams and client delivery.
• Mentor junior data scientists and share knowledge.
• Translate outputs for senior leaders and stakeholders.

Skills

Python programming

Machine learning

Data analysis

Team leadership

Git version control

Education

Master's degree in statistics, mathematics, computer science, or related field

PhD in Life Sciences or related field (preferred)

Tools

GitHub

Pandas

NumPy

PyTorch

TensorFlow

Job description

McKinsey & Company in the United States is seeking a Principal Data Scientist to advance the firm's Scientific AI offering, focusing on Life Sciences and chemistry & materials applications. The role involves building and deploying ML models, mentoring colleagues, and collaborating with client delivery teams.

You will contribute to internal knowledge, prototype development, and the deployment of analytical methods, translating findings for executive stakeholders and establishing scalable AI