Principal Data Scientist, Scientific AI for Life Sciences

McKinsey; San Francisco (CA); On-site; USD 214,000 - 218,000; Full time

Job summary

McKinsey in the United States seeks a Principal Data Scientist to advance our Scientific AI offering in Life Sciences. You will shape models, pipelines, and analytics, collaborating with senior leaders to translate complex outputs into actionable guidance for clients.

You will mentor teams, contribute to proprietary assets, and deliver high-impact results across multi-disciplinary projects in a start-up-like environment across NA offices.

Qualifications

• Master's degree with 8+ years or PhD with 7+ years of relevant experience in statistics, mathematics, or computer science.
• Domain knowledge in Life Sciences.
• Experience applying ML techniques to business problems.
• Strong programming experience in Python and ML libraries.
• Experience leading teams of at least 3 people.

Responsibilities

• Tackle complex data challenges, develop advanced models, and create solutions to optimize client performance.
• Mentor others and collaborate with world-class talent in a dynamic environment.
• Develop internal knowledge, build AI/ML models and pipelines, support client discussions, and deploy with delivery teams.
• Translate outputs into actionable recommendations for senior leaders.
• Present findings to executive stakeholders.

Skills

Python programming

Bayesian statistics

ML techniques

Transformers / Deep Learning

Statistical modelling

OO programming

Communication skills

Time management

Stakeholder advisory

End-to-end ownership

Education

Master's degree with 8+ years or PhD with 7+ years in statistics, mathematics, or computer science

Tools

GitHub

Job description

McKinsey in the United States seeks a Principal Data Scientist to advance our Scientific AI offering in Life Sciences. You will shape models, pipelines, and analytics, collaborating with senior leaders to translate complex outputs into actionable guidance for clients.

You will mentor teams, contribute to proprietary assets, and deliver high-impact results across multi-disciplinary projects in a start-up-like environment across NA offices.