Remote Marketing Analytics Scientist - Personalization ML

Publix Super Markets, Inc.; Lakeland (FL); Remote; USD 124,000 - 149,000; Full time

Job summary

Publix Super Markets, Inc. is seeking a data science specialist to build scalable ML-driven analytics that enhance customer experiences and marketing performance across Publix channels. You will consult on personalization and design programs across marketing, omni-channel, and store hierarchies.

Responsibilities include analyzing large datasets, creating learning systems, and improving model accuracy and integration with enterprise systems. Remote-friendly with Lakeland, FL as a base.

Qualifications

• Experience building scalable data science solutions using ML/AI.
• Strong data exploration and modeling skills.
• Ability to drive analytics initiatives across channels and marketing.

Responsibilities

• Develop scalable data science analytical solutions using ML/AI to automate and optimize business processes.
• Provide research-based consultation to support customer interface personalization across Publix.
• Design and measure customer personalization programs at multiple levels (marketing, omni-channel, product hierarchy, store).
• Analyze customer, transaction, and campaign data to uncover trends in marketing performance and behavior.
• Build learning systems that monitor data flows and adapt to changes in preferences and business goals.
• Manipulate large datasets using data mining, statistics, and ML techniques.
• Develop scalable processes for data analysis, model development, and deployment.
• Analyze and troubleshoot complex systems to improve accuracy, performance, and integration.

Skills

Machine learning

Data mining

Statistics

Scalable analytics

Job description

Publix Super Markets, Inc. is seeking a data science specialist to build scalable ML-driven analytics that enhance customer experiences and marketing performance across Publix channels. You will consult on personalization and design programs across marketing, omni-channel, and store hierarchies.

Responsibilities include analyzing large datasets, creating learning systems, and improving model accuracy and integration with enterprise systems. Remote-friendly with Lakeland, FL as a base.