Skip to main content

Data Scientist Job

Job Number: 2018-6698

Address: 2002 Papa John's Blvd

Location: Louisville, KY

Date Posted: 4-10-2018



The Data Scientist will bring their statistical and machine learning talents to bear to help Papa John's extract knowledge and actionable insights from our wealth of structured and unstructured data. Responsible for taking customer behavioral data, store-level consumer information, digital analytics, and a variety of other disparate data sources and generating descriptive and predictive models to drive revenue, improve targeting, and better personalize customer experience. They will draw on skills in data mining, data visualization, data cleaning, predictive analytics, along with machine learning and statistical modeling to derive meaning from these data sets and communicate that meaning to the broader team.


  • Lead the development of programs to clean and organize data sets, using tools along with more general knowledge of data cleaning and wrangling. This will include determining which data should be prioritized and how to optimize the cleaning process.
  • Build descriptive statistical models to allow PJI to better segment our customers. This will include the discovery of unique, targetable customer groups based on transaction history, geography, loyalty status and other available information.
  • Build predictive statistical models to allow PJI to better select and target deals, optimize marketing campaigns, and predict future customer behavior for the purposes of retention and improved communication.
  • Use SQL and data mining techniques to analyze current and historical campaigns to derive insights. This will include creating "Campaign Score Cards" to allow campaigns to be easily compared. This role will also be expected to leverage cloud-based machine learnings and advanced analytic services and frameworks to guide decision making.
  • Work closely with Marketing, Finance, Operations and other departments to communicate insights derived from analysis, and to translate those insights into campaigns.
  • Construct compelling data visualizations to allow your insights to be disseminated broadly across the organization.


  • Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics or related fields; M.S. or higher preferred.
  • 5+ years in Data Science
  • Excellent presentation and communication skills.


Exciting things are happening at Papa John's corporate restaurants. Work where the best ingredient is YOU!

Great things are happening at Papa John's! If you are looking for a fulfilling career with an international company, flavored with challenging work, mixed with professional development opportunities, a competitive salary and a collaborative team environment, then look no further! Papa John's seeks people who share our philosophy for success, are looking for quality business practices and meaningful work. All these combine to produce not only the best pizza, but also the best team members!

Papa John's has over 5,000 locations in 44 countries and territories around the world. We offer a competitive benefits and compensation package. Driven to be the best. Better Ingredients. Better People. ®

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, marital status, national or ethnic origin, pregnancy, veteran status, uniformed service (as defined by 10 U.S.C. § 101(a)(5)), protected disability status, genetic information, sexual orientation, gender identity, or any other characteristic protected by statute or local law.

The Company utilizes eSignatures for Disclosures and Consent which applies to all Materials, both current and future, related to your application for or possible employment with Papa John's International, Inc. on behalf of itself and its subsidiaries ("Papa John's"). By choosing to click "Apply Now" and move forward in the Application Process you are confirming that you have read, understood and agree to the Company's E-Signature Disclosures and Consent Policy. Please click here to review this policy.

Back to top