Data Scientist, Marketing Analytics
Ibotta
Location
🇺🇸 Denver, United States
Type
full_time
Salary
Undisclosed
Posted
4d ago
Job Description
Ibotta is seeking a Data Scientist, Marketing Analytics to join our Publisher Insights team and contribute to our mission to Make Every Purchase Rewarding. Our team leverages the latest developments and best practices in data analyses, testing methodologies, and statistics to provide actionable insights to the Marketing Team. As a Data Scientist, you’ll work on our Rewards Optimization models, which use uplift modeling to deliver personalized treatments in our weekly retention programs. You’ll own these models end to end, from working with stakeholders and preparing data through model development, production deployment, and ongoing monitoring. You’ll be able to advance not only your
technical skills
, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior scientists and managers on the team. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What You Will Be Doing • Build, retrain, and tune the uplift models that decide which bonus each saver receives in our weekly retention programs, balancing incremental redemptions against cost. • Own these models in production: maintain feature pipelines, deploy new model versions, and monitor performance and drift over time, following Ibotta’s model development standards. • Manage weekly model operations: review results as they come in, adjust model parameters to stay on budget, and within performance thresholds. • Help design and analyze the A/B tests and holdouts that measure bonus performance and produce training data for our models. • Report model performance and business impact to Marketing stakeholders, and explain results clearly to non-technical audiences. • Analyze large datasets on saver behavior to find insights that improve our models and marketing programs. • Work with analytics engineers, data engineers, and Marketing partners to find, define, and prepare the data needed for analysis and modeling. • Contribute to team best practices, including documentation, code review, and reusable modeling workflows. • Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere.