Data Scientist, Pharma Commercial Analytics

Brief Job Description – Data Scientist

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.

Key Skills & Experience

• 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.

Ideal Candidate Profile

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.

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