This newly created Assistant Director, Marketing Science role will be responsible for building analytical models to drive value from the data in the Cubs data environment. This role will be integral in driving efficiencies and unlocking value across all parts of the sales and retention lifecycle. Reporting to the Senior Director, Strategy & Analytics, this role will require deep collaboration with Cubs Marketing, Ticketing and IT colleagues to be successful.


  • Build and maintain analytical models to identify high value customers, i.e. those at risk of churning or strong candidates for upsells

  • Inform organization’s paid media strategy, conducting analysis and developing metrics to track campaign spend

  • Own the test and learn process for executing targeted marketing campaigns, analyzing and synthesizing results for key stakeholders

  • Identify and develop high value customer segments via Cubs Customer Data Platform (CDP)

  • Provide thought leadership on building best-in-class customer journeys and collaborate with Marketing team to execute

  • Wrangle disparate datasets from across our data assets to develop a holistic understanding of our consumer, partner with IT team to operationalize these data feeds & pipelines

  • Support ad-hoc analytical requests from across organization


  • 5 – 10 years’ experience in a quantitative, analytical or client-facing role centered on customer retention, personalization and campaign impact analysis

  • Well versed in marketing techniques and metrics including cohort analysis, lifetime value analysis, customer acquisition costs and campaign optimization

  • Bachelor’s or Master’s degree in business analytics, statistics, econometrics or related field

  • Technical background with hands on experience analyzing large datasets building predictive modeling, including linear and logistic regression, machine learning approaches and clustering or classification techniques

  • Functional mastery of SQL, R and/or Python to extract and merge data and execute statistical analysis


  • Experience with key data tools within Cubs organization including Snowflake, Google Cloud Computing Services, Adobe Experience Cloud and Salesforce CRM

  • Hands on experience and proficiency in omni-channel marketing automation

  • Experience using a Customer Data Platform and experience creating marketing campaigns in enterprise-level marketing automation platforms

  • Professional “get it done” attitude and work ethic with strong interpersonal skills to facilitate interactions with colleagues across organization

Response Expectations:

Due to the overwhelming number of applications we receive, we unfortunately may not be able to respond in person to each applicant. However, we can assure you that you will receive an email confirmation when you apply as well as additional email notifications whether you are selected to move forward for the position or not. Please note, we keep all resumes on file and will contact you should we wish to schedule an interview with you.

The Chicago Cubs and its affiliates are an Equal Opportunity Employer committed to inclusion and employing a diverse workforce. All applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or other legally protected characteristics.