Senior Data Scientist, Scientific AI for Life Sciences

McKinsey & Company; Boston (MA); On-site; USD 176,000 - 179,500; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Parental leave and family planning benefits

Retirement contributions and financial guidance

Job summary

McKinsey & Company is looking for a Senior Data Scientist to join their Life Sciences practice in Boston. The ideal candidate will have a strong background in machine learning and programming, capable of building AI models and collaborating with clients. A Master’s degree with relevant experience is required. This role offers a competitive salary ranging from $176,000 to $179,500, alongside comprehensive benefits including medical and mental health coverage, retirement contributions, and generous paid time off.

Qualifications

• Master’s degree with 5+ years or PhD with 2+ years in relevant fields.
• Proven experience applying machine learning to solve business problems.
• Track record of end-to-end ownership of independent workstreams.

Responsibilities

• Develop internal knowledge and build AI and machine learning models.
• Support client discussions and prototype development.
• Translate results for senior stakeholders and write optimized code.

Skills

Machine Learning experience

Strong programming experience in Python

Good presentation & communication skills

Experience advising external parties

Education

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

Tools

Python libraries (pandas, numpy, scikit-learn)

GitHub

Job description

McKinsey & Company is looking for a Senior Data Scientist to join their Life Sciences practice in Boston. The ideal candidate will have a strong background in machine learning and programming, capable of building AI models and collaborating with clients. A Master’s degree with relevant experience is required. This role offers a competitive salary ranging from $176,000 to $179,500, alongside comprehensive benefits including medical and mental health coverage, retirement contributions, and generous paid time off.