Senior Data Scientist, Scientific AI for Life Sciences
McKinsey & Company
New York (NY)
On-site
USD 176,000 - 179,500
Full time
14 days+
Application generator
Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.
Get past ATS filters
Benefits offered by this job
Comprehensive benefits package
Continuous learning opportunities
Global community
World-class benefits
Job summary
McKinsey & Company is seeking a Senior Data Scientist in New York City. The role involves developing AI and machine learning models, ensuring statistical validity, and working in a multi-disciplinary team. Candidates should have a Master's or PhD with relevant experience, strong programming skills in Python, and the ability to communicate complex concepts effectively. Salary range is $176,000 - $179,500, reflecting McKinsey's commitment to competitive compensation alongside comprehensive benefits.
Qualifications
Master's degree with 5+ years or PhD degree with 2+ years of relevant experience.
Strong programming experience in python (R, C++ optional) and relevant analytics libraries.
Proven experience applying machine learning techniques to solve business problems.
Responsibilities
Develop internal knowledge and build AI and machine learning models.
Support client discussions and prototype development.
Write optimized code to advance the Data Science Toolbox.
Skills
Machine Learning
Statistics
Python
Data Analysis
Presentation Skills
Education
Master's degree in statistics, mathematics, computer science
PhD in relevant field
Tools
GitHub
pandas
numpy
matplotlib
pytorch
Job description
McKinsey & Company is seeking a Senior Data Scientist in New York City. The role involves developing AI and machine learning models, ensuring statistical validity, and working in a multi-disciplinary team. Candidates should have a Master's or PhD with relevant experience, strong programming skills in Python, and the ability to communicate complex concepts effectively. Salary range is $176,000 - $179,500, reflecting McKinsey's commitment to competitive compensation alongside comprehensive benefits.