Job Description

• Designing and implementing analytical frameworks.
• Healthcare and commercial biopharma data sources such as claims data, HCP interaction logs, and prescription data.
• Developing predictive and prescriptive models.
• Lead the design and execution of advanced machine learning and causal inference models to measure and optimize omnichannel engagement strategies.
• Experience applying causal inference techniques (e.g., causal impact analysis, uplift modeling, DoWhy) to marketing and engagement analytics.
• Exercise independent judgment in methods, techniques, and evaluation criteria on data science projects, overseeing the end-to-end process from problem definition to model implementation.
• Proficiency with programming languages like Python, R, and SQL.
• Strong background in predictive modeling, classification, segmentation, and optimization.
• Extensively worked in Azure Cloud environment.

Job Tags

Similar Jobs