Senior Data Scientist, Scientific AI for Life Sciences

McKinsey & Company; Palo Alto (CA); On-site; USD 176,000 - 179,500; Full time

Benefits offered by this job

Comprehensive medical, mental health, dental, vision coverage

Parental leave and family planning benefits

Retirement contributions and financial guidance

Paid time off

Job summary

McKinsey & Company is seeking a Senior Data Scientist to develop AI and machine learning models as part of the Life Sciences practice. Located in Palo Alto, California, the ideal candidate will have a Master's or PhD with relevant experience, proficiency in Python, and capabilities in statistical analysis and machine learning. This role offers comprehensive benefits, a competitive salary range of $176,000 – $179,500, and opportunities for personal growth in a collaborative environment.

Qualifications

• Master’s degree with 5+ years or PhD with 2+ years in relevant fields.
• Experience applying machine learning to solve real business problems.
• Strong programming skills in Python and familiarity with analytics libraries.

Responsibilities

• Develop AI and machine learning models & pipelines.
• Support client discussions and prototype development.
• Work collaboratively in a multidisciplinary team.

Skills

Machine Learning

Programming in Python

Statistical Analysis

Causality

Bayesian Statistics

Optimization

Deep Learning

Data Visualization

Version Control (GitHub)

Communication Skills

Education

Master’s degree in statistics, mathematics, computer science, or equivalent

PhD in relevant field

Tools

Python libraries: pandas, numpy

scikit-learn

pymc, pytorch/tf/keras

Job description

McKinsey & Company is seeking a Senior Data Scientist to develop AI and machine learning models as part of the Life Sciences practice. Located in Palo Alto, California, the ideal candidate will have a Master's or PhD with relevant experience, proficiency in Python, and capabilities in statistical analysis and machine learning. This role offers comprehensive benefits, a competitive salary range of $176,000 – $179,500, and opportunities for personal growth in a collaborative environment.