Data Scientist, Pharma Commercial Analytics in Morris Plains, New Jersey at KMK Consulting, Inc.
Job Description
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.
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.
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