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Salary: USD 159,000 - 190,000 / annual
Ibotta, a leading performance marketing platform (NYSE: IBTA), is seeking a Principal Decision Scientist to join the Publisher Insights team. You will serve as a trusted analytics advisor to strategic publisher partners (including Walmart, 7-Eleven, Uber, DoorDash) within the Ibotta Performance Network, owning the full arc of analytical work from insight generation to C-suite storytelling.
Key responsibilities include:
- Serve as the primary analytics advisor to publisher executives, independently owning partner analytics relationships in partnership with the Strategic Partner Management team
- Build and maintain analytics foundations including per-publisher and network-level scorecards aligned with Finance and SPM
- Own the analytical narrative for publisher business reviews, diagnosing performance drivers and delivering clear "So What / Now What" recommendations
- Lead partner-facing measurement: design tests and case studies, build measurement models, and defend methodology with partner analytics teams
- Forecast publisher performance against contractual commitments and size opportunities for new capabilities
- Analyze partner economics including profitability, publisher overlap, and revenue concentration
- Shape the Publisher Insights roadmap, turning partner requests into scalable, automated solutions including AI-assisted workflows
- Mentor junior and mid-level team members and set quality standards through reviews and teaching
- Position Ibotta as a measurement authority through thought leadership content and industry engagement
- Travel up to 20% for partner meetings
The role is hybrid in Denver (3 days in office: Tuesday, Wednesday, Thursday) and requires relocation to the United States.
Requirements:
- 10+ years in analytics, data science, or decision science roles with increasing responsibility; domain experience in retail media, performance marketing, or digital advertising required; retail or CPG experience a strong plus
- Bachelor's degree in computer science, mathematics, statistics, data science, or related quantitative field (Master's or PhD preferred)
- Deep partner-facing and consultative experience: proven advisor (not just analyst) with expertise presenting to senior executives and C-suite; consulting background a significant advantage
- Expertise in experimental and quasi-experimental design (holdouts, matched markets, difference-in-differences, synthetic control) and measurement models (incrementality, MMM) with ability to explain to non-technical audiences
- Proven experience in forecasting, financial modeling, and partner economics including scenario planning, opportunity sizing, revenue share, and minimum guarantees
- Experience with privacy-safe data collaboration (data clean rooms) and measurement with limited partner data
- Hands-on proficiency with SQL, Python, and BI platforms (Looker, Tableau, or equivalent); fluency with AI-assisted analytics workflows; Git/GitHub, Databricks, and data pipeline tooling a plus
- Expertise in one or more partner business models (mass retail, grocery and delivery, dollar stores, rideshare and last-mile, QSR) or ability to build quickly
- Self-directed, highly organized collaborator managing multiple complex partner engagements simultaneously
- Willingness to travel up to 20% for partner meetings
