Data Scientist: Marketing & CRM Analytics

Walgreens Co.; Chicago (IL); On-site; USD 110,000 - 160,000; Full time

Job summary

Walgreens Co. is seeking a Data Scientist to apply advanced statistical, analytical, and machine-learning techniques to drive Marketing, Loyalty, and CRM decisions.

You will work with large datasets to build predictive models, conduct analyses, and identify opportunities to improve customer engagement and marketing effectiveness. The role involves preparing and integrating data, selecting suitable analytical methods, validating results, and translating findings into actionable recommendations

Qualifications

• Bachelor’s degree or graduate degree in a quantitative, computational or technical discipline.
• Knowledge of SQL.
• Experience in data science, analytics, or statistics with ability to interrogate data and present to business audiences.
• Experience building relationships within a matrix organization to ensure quality standards.
• Willing to travel up to 10% for business purposes.

Responsibilities

• Apply advanced data analysis tools and techniques to provide insights and actionable recommendations for the business.
• Interpret data in complex analyses and explain findings to business audiences to improve products and processes.
• Support or lead development of data-related offerings or IP.
• Execute statistical and mathematical analyses to support business decisions.
• Develop and use algorithms and predictive models to evaluate scenarios and outcomes.
• Apply rigorous statistical methods to analyze large data sets (profiling, segmentation, data mining).
• Document projects with objectives, data processing, approaches, results, and metrics.
• Develop materials to explain project findings.

Skills

SQL

Python

R

Data science

Machine learning

Statistics

Education

Bachelor’s degree or graduate degree in quantitative/technical field

Tools

Spark

Job description

Walgreens Co. is seeking a Data Scientist to apply advanced statistical, analytical, and machine-learning techniques to drive Marketing, Loyalty, and CRM decisions.

You will work with large datasets to build predictive models, conduct analyses, and identify opportunities to improve customer engagement and marketing effectiveness. The role involves preparing and integrating data, selecting suitable analytical methods, validating results, and translating findings into actionable recommendations