Decision Scientist
US$89,000 – US$101,000 / yr base salary
Posted 8 Oct 2026
Advertised as “Decision Scientist, Strategic Partner and Marketing Analytics”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$89,000 – US$101,000 / yr |
|---|
Field of studyAnalytics, Economics, Statistics (or related)
Study levelBachelor's
Ibotta is seeking a Decision Scientist to join our Publisher Insights team and contribute to our mission to Make Every Purchase Rewarding. As a Decision Scientist, you will be responsible for providing actionable insights to drive either the Direct to Consumer Marketing team or the Strategic Partner Management team’s decision making and strategy. You’ll have the opportunity to work alongside talented individuals across multiple analytics and business disciplines. This position leverages the latest developments in statistics, modeling, and testing methodologies to understand the business and our customers on an in-depth level to support and challenge strategic options. You will build state-of-the-art analytical and BI tools for our diverse set of stakeholders.
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.
Here is what you will be doing:
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Work directly with other Analytics team members as well as the Strategic Partner Development/ Business Development, Consumer Marketing, User Acquisition and our Communications marketing teams in analyzing customer behavior and trends to uncover key actionable insights about Ibotta users
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Analyzing performance trends to uncover key, actionable insights to enable our business to grow
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Collaborate with other teams from a wide variety of functions including Finance, Revenue/ Sales, Product Engineering, Machine Learning and other Analytics disciplines
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Provide thought leadership and insight on performance metrics, attribution methodologies and consumer statistics such as LTV:CAC and churn
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Run statistical analysis and create predictive models based on past user purchases and behavior
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Design, execute, and analyze controlled experiments to determine the impact of new approaches and performance of our tactics
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Produce concise and impactful presentations of data and insights to Marketing and company leadership, condensing complex topics and findings in a clear and concise fashion
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Represent the Marketing department on company wide data related task forces. Be vocal and represent our stakeholders needs as well as communicate back key learnings, findings or procedures
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Collaborate with business stakeholders to provide insightful reporting and dashboards along with automating workflows and self serve analytics solutions