Develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets
Job Summary
Develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets.
Manage the execution of a proprietary AI engine built to optimize Copay and other GTN initiatives, ensuring models are trained with the latest data and meet SLA expectations.
Collaborate with global cross-functional teams on the AI tool's roadmap and translate business needs into technical specifications for AI-driven automation and insights.
Matching Summary
Develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets.
Skills & Requirements
Must-have
R and Python analytic software
US pharmaceutical ecosystem knowledge
Machine learning algorithms and techniques
Statistical techniques and hypothesis testing
Nice-to-have
MLOps practices and tools
DevOps tools
Python and ML libraries
NLP techniques for text analysis
Time-series data analysis
Cloud platforms (AWS, Azure, GCP)
Databricks platform experience
Key Requirements
Minimum 2 years IS experience with Master's degree
Minimum 4 years IS experience with Bachelor's degree
Master's degree in computer science, statistics or STEM
Bachelor's degree in computer science, statistics or STEM