Senior Data Scientist

Job Details

· 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.

Skill (Primary)

Quality Management Skills (ERS)-Techniques-Data Science