Marketing Analytics Data Scientist
Publix is able to offer virtual/remote employment for this position in the following states: FL, GA, AL, TN, SC, NC, VA, KY Role and responsibilities - 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 Qualifications and experience - 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 - 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) T