Lead Data Scientist: Pharma Commercial Analytics

The businesses of Merck KGaA, Darmstadt, Germany; Toronto; On-site; CAD 174,000 - 264,000; Full time

Job summary

A global healthcare company is seeking a Lead Data Scientist to shape commercial and medical strategies through advanced analytics and machine learning. This role involves collaborating across teams, leading the development of scalable AI/ML solutions, and mentoring junior data scientists. Ideal candidates should hold a Master’s degree and have a strong background in data science within a commercial setting, especially in pharma. The position offers a competitive salary and comprehensive benefits in Toronto, Ontario.

Benefits

Health insurance

Paid time off

Retirement contributions

Qualifications

• 4+ years of experience as a data scientist in a commercial setting, preferably pharma.
• Strong expertise in supervised/unsupervised learning and causal inference.
• Experience deploying Python-based machine learning models in production.

Responsibilities

• Collaborate with Commercial, Medical, and IT teams.
• Design and validate supervised and unsupervised models.
• Apply causal inference to optimize strategy and resource allocation.

Skills

Proficiency in Python (pandas, scikit-learn)

SQL

Strong communication skills

Causal inference expertise

Mentoring junior data scientists

Scalable ML pipelines

Collaboration across teams

Education

Master’s degree in a related quantitative field

Tools

Git

Linux

AWS

Job description

A global healthcare company is seeking a Lead Data Scientist to shape commercial and medical strategies through advanced analytics and machine learning. This role involves collaborating across teams, leading the development of scalable AI/ML solutions, and mentoring junior data scientists. Ideal candidates should hold a Master’s degree and have a strong background in data science within a commercial setting, especially in pharma. The position offers a competitive salary and comprehensive benefits in Toronto, Ontario.