Responsibilities:

• Develop strategies and recommendations on testing and monitoring analytical model performance in the business context.
• Contribute to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria.
• Mine and analyze data leveraging advanced analytical/statistical techniques from disparate databases/sources to drive optimization and improvement of therapy area commercial business strategies.
• Oversee deployment and implementation of analytics solutions and track business value impact.
• Convey intensively with other platform/competencies to comprehend new trends/ methodologies being implemented/considered within the company ecosystem and bring new ideas forward that will enhance analytic capabilities of the organization.

Qualification:

• Minimum 2 plus years of analytical experience in applying statistical solutions to business problems.
• Bachelor of Science (or equivalent) in Data Science, Computer Science, Management Information Systems, IT, MBA, or an equivalent scientific/commercial discipline. Post Graduate degree (Masters or Ph.D.) is preferable.
• Knowledge in developing both machine learning and descriptive algorithms/modeling using such languages as Python, R etc.
• Experience or proven knowledge of business processes and industry/market trends within the pharmaceutical/healthcare space is preferable.
• Fluent in English (both written and speaking)