Data Scientist, Machine Learning

Roles & Responsibilities: Conduct simple and advanced data analysis to help clients make good business decisions Work with project leadership to define project scope and manage end to end implementation Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems. Develop new statistical models as well as provide analysis using existing models.

Maintain the highest standards to follow the best practices and trending analytics in pharma domain Work with internal business teams to understand problem statement, requirements and use cases Excellent Problem Solving & Quantitative skills, Hands on experience on Python/R/SAS Experience in tools like Pyspark, SQl, Big Query Ability to create a model & simulation tool from scratch Should be comfortable interacting and managing stakeholders both external and internal Should be good in project management and ensuring timelines and quality is met