Data Scientist

1 week ago

Cary, NC, United States Cynet Systems Full time
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.

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