Marketing Analytics Data Scientist

Publix•Lakeland, FL
•$105,885 - $158,860•Remote

About The Position

This role develops and deploys advanced data science and machine learning solutions to drive business performance, enhance customer personalization, and optimize pricing, merchandising, and promotional strategies. It uses large-scale data analysis, predictive modeling, and AI-driven systems to generate insights, automate decision-making, and improve customer engagement across channels. Publix can offer virtual/remote employment for this position in Florida, Georgia, Alabama, Tennessee, South Carolina, North Carolina, Virginia, and Kentucky.

Requirements

  • Master’s degree in Data Science, Information Systems, Computer Science, Statistics, Mathematics, Economics, Finance, or a related quantitative field from an accredited college or university, or equivalent experience.
  • At least five years of work-related experience in analytics, computer science, marketing, finance, or a similar analytics field.
  • At least three years of experience writing SQL.
  • At least five years of experience writing R code, Python, Syntax, or similar functionality within other statistical tools.
  • Advanced knowledge of Microsoft Excel.
  • Basic knowledge of 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 such as SPSS or SAS, and business intelligence tools such as SQL, Visual Basic, or SQL Enterprise Manager.
  • Intermediate knowledge of data visualization tools such as Tableau or MicroStrategy Desktop, and Python coding.
  • Ability to exhibit natural curiosity when developing research.
  • Expert knowledge of creating ETL (extract, transform, load) processes and knowledge of ETL best practices.
  • Basic knowledge of working with large datasets and distributed computing tools such as Spark.

Nice To Haves

  • Ph.D. in data science, computer science, statistics, neuroscience, engineering, mathematics, or physics.
  • Seven or more years of relevant research-related experience.
  • Data Science Certificate.
  • Expert knowledge of data visualization tools and Python coding.
  • Intermediate knowledge of using Data Management Platforms (DMPs).
  • Basic knowledge of Alteryx and Alteryx Server or similar business intelligence tools.

Responsibilities

  • Develop and implement scalable data science analytical solutions using machine learning and artificial intelligence to automate and optimize key business processes, improve efficiency, and support financial results.
  • Provide research-based consultation and recommendations regarding personalization of customer interfaces with Publix.
  • Contribute to the design and measurement of customer personalization programs at the marketing-channel, omnichannel, product-hierarchy, and store levels.
  • Analyze customer, transaction, and campaign data to identify trends and patterns in marketing campaign performance and customer behavior.
  • Build learning systems that monitor data flows and respond 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.
  • Develop scalable, efficient processes for large-scale data analyses, model development, and model implementation.
  • Analyze and troubleshoot highly complex systems for accuracy, performance improvement, and integration with changes to other enterprise systems.

Benefits

  • Year-end bonus equal to one month’s extra pay, prorated in the first year, if the associate remains employed through the bonus check issue date.
  • Employee stock ownership plan that contributes Publix stock to associates each year at no cost.
  • Opportunity to purchase additional shares of Publix’s privately held stock.
  • 401(k) retirement savings plan.
  • Group health, dental, and vision plans.
  • Paid time off.
  • Paid parental leave.
  • Short- and long-term disability insurance.
  • Tuition reimbursement.
  • Free hot lunches at facilities with a cafeteria.
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