Data Scientist, Pharma Commercial Analytics

We are looking for a hands-on Data Science professional with strong experience in building analytical solutions, developing AI tools, and enhancing predictive models.

Key Responsibilities:

• Build and deliver hands-on analytical solutions, predictive models, and AI-powered tools.

• Work with diverse pharmaceutical data sources, including APLD, LAAD, NPP/Omnichannel, Execution, and EHR datasets.

• Refine, optimize, and accelerate existing predictive models to improve performance and business outcomes.

• Develop and deploy new predictive models to address evolving business needs.

• Translate complex data into actionable business insights and scalable analytical solutions.

• Strong hands-on experience in Advanced Analytics, Predictive Modeling, and AI/ML.

• Experience working with pharmaceutical commercial data sources such as APLD, LAAD, NPP, Omnichannel, and EHR.

• Proficiency in Python, R, SQL, and relevant machine learning techniques.

• Ability to build solutions independently rather than just manage analytical teams.

A hands-on analytics professional who combines pharmaceutical domain knowledge, strong technical capabilities, and practical AI/ML experience to enhance existing models and build new analytical solutions.