Technical Leadership and Solving Ambiguity: Lead high-stakes projects with unclear goals, mentoring junior data scientists to define high-value problem statements and deliver measurable business impact.
Scalable Product Innovation: Build commercially focused, self-serve data products and AI-automated insights that move beyond traditional dashboards for merchants and shoppers.
Strategic Advising: Consult with Engineering and Product leaders, providing data-driven perspectives on product direction and identifying new opportunities grounded in data.
Metric Design and Infrastructure Advocacy: Define key metrics and attribution mechanisms while advising data engineering on infrastructure optimisations for "machine-consumable" insights.
Radical Transparency: Advocate data integrity across product areas, reducing organisational paralysis through clear, data-backed conversations with senior leadership.

Staff Product Data Scientist, Google Shopping

Job Description