Marketing Analytics Data Scientist

Lakeland, FL (Remote)

$105K/yr – $158K/yrMid Level5+ years expFull time

Posted 5 weeks ago

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Job Summary

Own scalable data science and ML solutions that personalize customer experiences, optimize pricing and promotions, and automate decisioning across channels.

  • Data science and ML ownership: build and deploy predictive models and AI-driven systems that impact pricing, merchandising, and campaigns.
  • Personalization and measurement: design cross-channel personalization programs and assess their impact at marketing, omni-channel, product hierarchy, and store levels.
  • Data engineering and ops: monitor data flows, handle ETL, and maintain model and system performance in a distributed environment.

Job Description

Responsibilities

  • 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.
  • 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

Requirements

  • 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

  • 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)

Benefits

  • 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: https://jobs-beta.publix.com/benefits/
Publix Super Markets logo

Publix Super Markets

3.8 Glassdoor

Founded in 1930, Publix Super Markets is the largest and fastest-growing employee-owned supermarket chain in the United States. Publix employs over 200,000 associates. We are privately-owned, hold no long-term debt, have avoided layoffs, and continue to grow year after year. Publix and our associates excel in community involvement, volunteerism and environmental sustainability. Having an inclusive working environment makes our company—and our community—better. We value the fresh ideas and unique perspectives that each associate provides. We make it a priority to employ and work with qualified and talented people, which includes associates from many backgrounds, cultures, abilities, and ethnicities.

Founded in 1930
Lakeland, Florida, USA
84K employees (1,567 in marketing)
67% recommend to a friend
69% CEO approval

Traffic Signals

Monthly Visitors
18.5M
Monthly Google Ads Budget
$621.1K
Traffic Source Mix
Search
34.1%
Direct
61.2%
Referral
3.3%
Social
0.6%
Paid
0.6%

Headcount Trend

Current headcount: ~84.7K

Marketing Team

Marketing Team Size
825 (1% of company)
Median Tenure
7.3 years
Marketing Roles Posted (Last 30 Days)
2

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