Marketing Analytics Data Scientist

Publix; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Employee stock ownership plan

401(k) retirement savings plan

Health, dental and vision plans

Paid Time Off

Job summary

Publix is seeking a senior Data Scientist to develop and deploy advanced analytics and ML solutions that optimize pricing, merchandising, and customer personalization across channels. The role leverages large-scale data analysis, predictive modeling, and AI-driven systems to drive business performance and automate decision-making.

Remote work is available in listed states; collaboration across marketing, IT, and analytics teams is essential.

Qualifications

• Master’s degree in Data Science, Information Systems, Computer Science, Statistics, Economics, Finance, or related quantitative field from an accredited college or university, or equivalent experience
• at least five (5) years of analytics, computer science, marketing, finance, or similar analytics field work-related experience
• at least three (3) years’ experience writing SQL
• at least five (5) years’ experience writing R code, Python, or similar functionality within other statistical tools
• advanced knowledge in Microsoft Excel
• basic knowledge using Data Management Platforms(DMPs)
• knowledge of NoSQL databases, data lakes and formats including text, image, sentiment and audio/video
• expert knowledge of statistical software (SPSS, SAS) and BI tools (SQL, Visual Basic)
• intermediate knowledge of data visualization tools (Tableau, MicroStrategy) and Python coding
• natural curiosity in research
• expert knowledge in ETL processes
• basic experience with large data sets and distributed computing tools like Spark

Responsibilities

• Develop scalable Data Science Analytical Solutions using ML/AI to automate and optimize key business processes and improve financial results
• Provide research-based consultation on customer interface personalization
• Contribute to design and measurement of personalization programs at marketing channels and store level
• Analyze customer, transaction, and campaign data to identify trends in marketing performance and customer behavior
• Build learning systems that monitor data flows and adapt to changes in preferences and objectives
• Manipulate large datasets using data mining, statistics, and ML techniques
• Develop scalable, efficient processes for large-scale data analyses, model development and deployment
• Analyze and troubleshoot complex systems for accuracy, performance, and integration with other enterprise systems

Skills

SQL

Python

R

Excel

Statistics

ETL

Data Visualization

Spark

Machine Learning

Data Mining

Education

Master’s degree in Data Science or related quantitative field

Tools

SAS

SPSS

Tableau

MicroStrategy

Job description

Description

Publix is able to offer virtual/remote employment for this position in the following states: FL, GA, AL, TN, SC, NC, VA, KY

This role is responsible for developing and deploying advanced data science and machine learning solutions that drive business performance, enhance customer personalization, and optimize pricing, merchandising, and promotional strategies. The position leverages large-scale data analysis, predictive modeling, and AI-driven systems to generate insights, automate decision‑making, and improve customer engagement across channels.

Additional responsibilities include:

• developing and implementing scalable Data Science Analytical Solutions that rely on machine learning and artificial intelligence to automate and optimize key business processes and help improve efficiency and financial results


• providing research-based consultation and recommendations regarding the personalization of customer interfaces with Publix


• contributing to the design and measurement of customer personalization programs at the Marketing channel, omni-channel, product hierarchy, and store level


• analyzing customer, transaction, and campaign data to identify trends and patterns in marketing campaign performance and/or customer behavior


• building learning systems that monitor data flows and react to changes in customer preferences, network constraints, and business objectives


• manipulate large datasets to discover and extract meaningful business information using data mining, statistics, and machine learning techniques


• developing scalable, efficient processes for large scale data analyses, model development and model implementation


• analyzing and troubleshooting highly complex systems for accuracy, performance improvement and integration with changes to other enterprise systems

Required Qualifications

• Master’s degree in Data Science, Information Systems, Computer Science, Statistics, Mathematics, Economics, Finance, or related quantitative field from an accredited college or university, or equivalent experience


• at least five (5) years of analytics, computer science, marketing, finance, or similar analytics field work-related experience


• at least three (3) years’ experience writing SQL


• at least five (5) years’ experience writing R code, Python, Syntax or similar functionality within other statistical tools


• advance knowledge in Microsoft Excel


• basic knowledge using Data Management Platforms(DMPs)


• knowledge of NoSQL databases, data lakes and formats including text, image, sentiment and audio/video


• expert knowledge of statistical software knowledge (i.e., SPSS, SAS) and business intelligence tools (i.e., SQL, Visual Basic, SQL Enterprise Manager)


• intermediate knowledge of data visualization tools (i.e., Tableau or MicroStrategy Desktop) and Python Coding


• ability to exhibit a natural curiosity when developing research


• expert knowledge in creating ETL (extract, transform, load) process and knowledge of ETL best practices


• basic working with large data sets and distributed computing tools like Spark

Preferred Qualifications

• Ph.D. degree in data science, computer science, statistics, neuroscience, engineering, mathematics, or physics


• seven (7) or more years of relevant research related experience


• Data Science Certificate


• expert knowledge of data visualization tools and Python Coding


• intermediate knowledge using Data Management Platforms(DMPs)


• Basic knowledge in Alteryx and the Alteryx Server or similar Business Intelligence (BI) Tools

Year End Bonus

As a year-end bonus to associates, Publix issues one month’s extra pay (pro‑rated in the first year) each year if associate remains employed through issue date of the bonus check that year. This is calculated as a 13th month of pay in the Potential Annual Pay with Bonus line above.

Benefits Information

• Employee stock ownership plan that contributes Publix stock to associates each year at no cost


• An opportunity to purchase additional shares of our privately‑held stock


• 401(k) retirement savings plan


• Group health, dental and vision plans plan


• Paid Time Off


• Paid Parental Leave


• Short- and long-term disability insurance


• Tuition reimbursement


• Free hot lunches (buffet-style) at facilities with a cafeteria


• Visit our website to see all of our benefits: Benefits - Jobs (publix.com)

Additional Information

Your application may have additional steps that you will need to complete in order to remain eligible for consideration. Please be sure to monitor your email, including your spam folder, on a daily basis for critical, time-sensitive emails that could require action within 24-48 hours.

Please do not use your Publix email address when applying. Once your application has been successfully submitted you will receive a confirmation email.

For this position, Publix does not and will not file a petition or application with the USCIS or Department of State on behalf of any noncitizen for any immigration‑related benefit to work and/or to continue to work in the United States, e.g., an H‑1B or TN petition or permanent residence.