Data Scientist: Predictive Analytics & Strategic Insights

Walgreens; Indianapolis (IN); On-site; USD 90,000 - 130,000; Full time

Job summary

Walgreens is seeking a data analytics professional to apply advanced statistics and predictive modeling to deliver insights for business decisions. You will interpret complex data, explain results to business audiences, and contribute to data-related offerings and intellectual property.

The role supports cross-functional teams, collaborates with internal and external partners, and requires strong SQL, Python/R/Spark skills. Willingness to travel up to 10% may be required.

Qualifications

• Bachelor's degree with 2+ years in quantitative or computational roles, or a quantitative graduate degree.
• Knowledge of SQL.
• Experience analyzing data and presenting findings to business audiences.

Responsibilities

• Apply advanced data analysis tools to provide insights and actionable tips for the business.
• Interpret data in complex analyses and explain findings to business audiences.
• Develop and/or support data-related offerings and IP.
• Execute statistical analyses to support business decision making.
• Develop algorithms and predictive models to evaluate outcomes and future effects.
• Apply statistical methods to large datasets including profiling, segmentation, surveys, and data mining.
• Prepare materials to explain findings and resolve roadblocks.
• Interact with internal/external peers to discuss data-related tasks.
• Provide interpretation of findings to internal clients.

Skills

SQL

Data analytics

Data interpretation

Education

Bachelor's degree

Graduate degree

Tools

Python

R

Spark

Job description

Walgreens is seeking a data analytics professional to apply advanced statistics and predictive modeling to deliver insights for business decisions. You will interpret complex data, explain results to business audiences, and contribute to data-related offerings and intellectual property.

The role supports cross-functional teams, collaborates with internal and external partners, and requires strong SQL, Python/R/Spark skills. Willingness to travel up to 10% may be required.