We are looking for a hands‑on Data Scientist who enjoys working deep in the data: cleaning, validating, stress‑testing, and improving complex datasets at scale. This role is not AI‑research focused — it is about statistical rigor, data quality, and real‑world consumer measurement problems.
If you enjoy solving messy data problems, building reliable methodologies, and seeing your work directly influence product quality, this role is for you.
What You’ll Do
- Work hands‑on with large‑scale consumer and behavioral datasets, supporting measurement products used across North America
- Evaluate existing data preparation, validation, and projection methodologies, identifying opportunities for improvement
- Design and prototype new statistical or data‑driven approaches to address evolving market and measurement challenges
- Develop end‑to‑end quality, validation, and performance indicators tied directly to product accuracy and reliability
- Partner with Product, Engineering, and global Data Science teams to support production deployment of new solutions
- Investigate data issues, perform root‑cause analysis, and recommend corrective actions
- Clearly summarize findings and recommendations for technical and non‑technical stakeholders
- Maintain clear documentation of methodologies, assumptions, and best practices