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Ibotta · 15 hours ago

Principal Data Scientist

Denver, CO

Full-time

Hybrid

Lead/Staff

$180K/yr - $200K/yr

10+ years exp

Ibotta is a leading performance marketing platform seeking a Principal Data Scientist for Marketing Analytics to drive business-critical initiatives and elevate technical standards within their data science organization. The role involves enhancing measurement solutions, collaborating across teams, and leading strategic data science initiatives with a focus on mentorship and technical excellence.

AppsCouponsE-CommerceMobileMobile AppsRetailService IndustryShopping

No H1B

Responsibilities

Help lead the continued evolution of Ibotta's measurement methodology through exploration of cutting-edge measurement research and experimental design

Collaborate as the go-to troubleshooter for measurement anomalies—exploring outlier results, diagnosing data quality issues, and validating statistical assumptions across alpha, beta, and production measurement systems

Lead code reviews and architecture discussions, providing expert guidance on design patterns, scalability, and technical trade-offs. Foster a culture of code quality, rigorous measurement, and collaborative problem-solving

Evaluate and adopt new tools, explore frameworks and innovative model forms that enhance team effectiveness, while maintaining code quality standards

Lead enterprise-wide data science initiatives spanning 6+ months with measurable business impact across multiple teams and KRs

Build trusted partnerships with C-suite executives, product managers, and data science leaders to translate business problems into technical solutions while delivering with consistency and transparency

Present complex technical concepts clearly to both technical and non-technical audiences, including executive leadership. Deliver high impact presentations on key initiatives and research, with easily understood visualizations, to drive insight and adoption

Mentor more junior data scientists through technical guidance, code reviews, and strategic coaching

Create technical training programs and documentation that elevate organizational data science maturity

Qualification

Data ScienceMachine LearningSQLPythonExperimental MethodsCloud PlatformsDistributed ComputingPerformance MarketingMLOps PracticesTechnical LeadershipMentorshipCollaborationCommunication

Required

10+ years of professional experience in data science, machine learning, or advanced analytics with demonstrated transformational impact

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or related quantitative field required

Expert-level SQL and Python with demonstrated ability to write clean, maintainable, well-tested production-grade code

Experience with distributed computing (Spark, PySpark) and cloud platforms (AWS, GCP, Azure) is a requirement

Strong software engineering practices: version control (Git), CI/CD, unit testing, code review, design patterns

Deep expertise in experimental methods like RCTs and AB testing at scale, along with quasi-experimental designs: difference-in-differences, propensity score matching, regression discontinuity, and similar modalities

Deep understanding of performance marketing metrics (ROAS, incrementality, new-to-brand acquisition), and ability to quantify and communicate business impact

Preferred

Master's or Ph.D. strongly preferred

Experience in performance marketing, retail media, e-commerce, or CPG analytics environments strongly preferred

Advanced ML frameworks and techniques (time series, ensemble methods) and MLOps practices (model deployment, monitoring, feature engineering) strongly preferred