Marketing Analytics Data Scientist

Walgreens Co.; Deerfield (IL); On-site; USD 65,000 - 114,000; Full time

Job summary

Walgreens is seeking a Data Scientist to apply advanced statistics, analytics, and machine-learning to enhance Marketing, Loyalty, and CRM decision-making. You will work with large datasets to develop predictive models, evaluate outcomes, and identify opportunities to boost customer engagement and marketing effectiveness.

You will prepare and integrate data, select methods, validate results, and translate findings into actionable recommendations, collaborating with internal and external

Qualifications

• Bachelor's degree or graduate degree in a quantitative, computational, or technical discipline.
• Experience with SQL, Python, R, and open-source data science packages.
• Experience in data science, analytics, or statistics; able to interrogate data and present to business audiences.
• Familiarity with marketing, CRM, loyalty analytics is a plus.

Responsibilities

• Apply advanced data analysis tools and techniques to provide insights and actionable recommendations.
• Use complex statistical modeling to predict future outcomes and scenarios.
• Interpret data for business audiences to improve products and processes.
• Support or lead development of data-related offerings or IP.
• Execute statistical analyses to aid business decision making.
• Develop predictive models and modeling techniques for scenarios and outcomes.
• Apply rigorous statistical methods to analyze large data sets and perform data mining.
• Document projects with objectives, data gathering, approaches, results, and metrics.
• Develop materials to explain project findings.
• Resolve problems and roadblocks; interact with peers and managers to exchange information.
• Prepare and present interpretation of findings to internal clients.

Skills

SQL

Python

R

Machine learning

CRM analytics

Education

Bachelor's degree

Graduate degree

Tools

Spark

Job description

Walgreens is seeking a Data Scientist to apply advanced statistics, analytics, and machine-learning to enhance Marketing, Loyalty, and CRM decision-making. You will work with large datasets to develop predictive models, evaluate outcomes, and identify opportunities to boost customer engagement and marketing effectiveness.

You will prepare and integrate data, select methods, validate results, and translate findings into actionable recommendations, collaborating with internal and external