Senior Data Scientist - AI & ML Innovator (Life Sciences)

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

Benefits offered by this job

Competitive salary

Comprehensive benefits package

Medical, mental health, dental, and vi

Telemedicine services

Life, accident and disability保险

Parental leave and family planning

Retirement contributions program

Paid time off

Job summary

McKinsey & Company seeks a Senior Data Scientist in North America to build AI/ML models, drive analytics and deliver insights for life sciences clients. You will collaborate with cross‑functional teams, translate complex analytics for executives, and contribute to a growing scientific AI program across therapies and materials.

The role offers opportunities for growth, mentorship, and exposure to a global community, with a competitive compensation package and comprehensive benefits.

Qualifications

• Master's degree with 5+ years or PhD with 2+ years in statistics, mathematics, computer science, or equivalent research experience.
• Machine learning experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Graph NNs, Deep Learning, computer vision.
• Strong programming experience in Python (R, C++ optional) and libraries (pandas, numpy, matplotlib, scikit‑learn, statsmodels, pymc, pytorch/tf/keras, langchain).
• Proven experience applying machine learning techniques to solve business problems.
• Experience with version control (GitHub).
• Ability to write production code and object‑oriented programming.
• Proven track record of end‑to‑end ownership of independent workstreams.
• Good presentation and communication skills, with the ability to explain complex analytics concepts to non‑technical stakeholders.
• Proven experience advising external parties and/or functions.
• Exceptional time management to meet responsibilities in a complex and largely autonomous work environment.

Responsibilities

• Develop new internal knowledge, build AI/ML models & pipelines, support client discussions, prototype development, and deploy with client delivery teams.
• Bring distinctive statistical, ML, and AI competency to complex client problems and help build McKinsey's scientific AI offering.
• Create and disseminate cutting‑edge knowledge and proprietary assets, work in a multi‑disciplinary team, and build the firm's reputation in this area.
• Ensure statistical validity of analytics, ML models, and translate results for senior stakeholders.
• Write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment.
• Work in North America offices within the Life Sciences practice as part of McKinsey's global scientific AI team.
• Collaborate with AI teams on R&D topics in a startup‑like environment as a Senior Data Scientist in development/delivery.
• Support the data science manager in developing a roadmap of assets across cell‑level initiatives delivering capabilities and insights.
• Flexibility to hire at Senior Data Scientist I or II level depending on experience.

Skills

Statistics/ML competency

Python programming

Production code

OO programming

End-to-end ownership

Git / GitHub

Communication

Time management

External advisory experience

Explain analytics to non-technical

Education

Master's degree + 5+ years

PhD + 2+ years

Tools

Python

Pandas

NumPy

Scikit-learn

PyTorch

TensorFlow

Job description

McKinsey & Company seeks a Senior Data Scientist in North America to build AI/ML models, drive analytics and deliver insights for life sciences clients. You will collaborate with cross‑functional teams, translate complex analytics for executives, and contribute to a growing scientific AI program across therapies and materials.

The role offers opportunities for growth, mentorship, and exposure to a global community, with a competitive compensation package and comprehensive benefits.