Senior Decision Scientist, Pharmacy and Consumer Wellness Analytics

What you'll do

• Develop end-to-end analytical solutions to drive revenue and profitability in the Retail Pharmacy business.
• Build predictive models and simulate the impact of business decisions to improve pharmacy outcomes.
• Analyze structured and unstructured data from multiple sources to solve complex business problems.
• Create impactful visualizations and presentations to communicate findings and recommendations to senior leadership.
• Act as a primary point of contact for stakeholders to define requirements and manage project status.
• Leverage AI tools and techniques to maximize productivity and operational profitability.
• Partner with data engineers and scientists to determine technical methodologies and solution approaches.

What we're looking for

• Bachelor's degree in a quantitative field with 4–7+ years of experience or a Master's degree in an analytic discipline with 2+ years of experience.
• At least 5 years of experience in the industry.
• At least 3 years of experience programming in SQL and Python.
• At least 3 years of experience using data visualization platforms like Power BI or Tableau for end-to-end implementations.
• At least 1 year of experience implementing AI-based solutions for analytics and business intelligence.
• Proficiency in analyzing large datasets on cloud platforms such as Snowflake, Azure, or GCP.
• Strong knowledge of mathematical principles, statistical analysis, machine learning, and predictive modeling.
• Strong project management skills and the ability to present complex technical concepts to non-technical stakeholders.