Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Principal Data Scientist leading marketing analytics initiatives at Ibotta. Collaborating across teams to enhance measurement solutions and drive business impact through data science.
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
Requirements
- 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; Master's or Ph.D. strongly preferred
- Experience in performance marketing, retail media, e-commerce, or CPG analytics environments strongly preferred
- 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
- Advanced ML frameworks and techniques (time series, ensemble methods) and MLOps practices (model deployment, monitoring, feature engineering) strongly preferred
- 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.
Benefits
- Competitive pay
- Flexible time off
- Benefits package (including medical, dental, vision)
- Lifestyle Spending Account
- Employee Stock Purchase Program
- 401k match
- Paid parking
- Snacks
- Occasional meals
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