Lead high-impact, cross-functional initiatives across therapeutic areas (TAs)
Partner with diverse stakeholders and data science peers to establish best practices, streamline operations, and deliver measurable improvements
Drive initiatives such as: Defining and implementing best practices in data science, championing scalable and reusable solutions, leading cross-functional data science initiatives
Understand Gilead's commercial business objectives and develop scalable data science products and insights to influence decisions in marketing, sales, medical and etc.
Foster a culture of measurement and impact and incorporate feedback to continuously improve data science models
Collaborate with global teams to cross-pollinate ideas and replicate successful models from other countries
Requirements
Bachelor's Degree and Twelve Years' Experience OR Masters' Degree and Ten Years' Experience OR PhD and Eight Years' Experience
Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, Tree-based algorithms (RF, XGB, LightGBM), SMOTE and etc.
Experience in building, implementing and using AI-based solutions with proven business impact
Strong leadership that be able to manage initiatives from beginning to end himself/herself
Effective written and verbal communication skills
Experience in implementing, optimizing and using AI-based solutions to establish proven business impact
Effective written and verbal communication skills
Understanding of cloud-based technologies and tools such as Databricks, S3, etc.
Experience designing measurement solutions in any visualization software (Tableau preferred)
Benefits
company-sponsored medical, dental, vision, and life insurance plans*
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