Global Biz Strategy Data Scientist – Incentives & Analytics

Google

San Francisco (CA)

Presencial

USD 138 000 - 197 000

Tempo integral

Há 5 dias
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Vantagens oferecidas por esta oferta de emprego

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Bonus plan
Benefits

Resumo da oferta

Google is seeking a data-driven professional to own analytics, data infrastructure, and measurement for seller incentives within the Global Business Strategy and Operations team. You will design data pipelines, perform advanced statistical analysis, and collaborate with Strategy, Finance, and Operations to translate problems into data-driven decisions.

As a data scientist, you will manage the full data lifecycle from analysis to strategic recommendations, applying causal inference and predictive

Qualificações

  • Master’s degree in statistics, engineering, sciences, or equivalent practical experience.
  • 3 years of analytics experience with coding (Python, R, SQL), querying databases, or relevant PhD.

Responsabilidades

  • Lead analytics, data infrastructure, and measurement for seller incentives, building data pipelines and tooling for advanced statistical analysis.
  • Partner with Strategy, Operations, and Finance to translate business problems into data-driven strategies and decisions.
  • Own the full data science life-cycle, using causal inference, predictive modeling, and descriptive analytics to build scalable frameworks.
  • Manage ambiguous problems with SQL, R, and Python to create automated data pipelines, BI infrastructure, and dashboards.
  • Act as a data storyteller to translate findings into narratives that influence executives and cross-functional teams.

Conhecimentos

Analytical thinking
Communication
Stakeholder management

Formação académica

Master's degree in quantitative discipline
PhD in quantitative discipline

Ferramentas

SQL
Python
R

Descrição da oferta de emprego

Google is seeking a data-driven professional to own analytics, data infrastructure, and measurement for seller incentives within the Global Business Strategy and Operations team. You will design data pipelines, perform advanced statistical analysis, and collaborate with Strategy, Finance, and Operations to translate problems into data-driven decisions.

As a data scientist, you will manage the full data lifecycle from analysis to strategic recommendations, applying causal inference and predictive

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