The Business Data Scientist role at Google focuses on driving the implementation of data science solutions within the Platforms and Devices Marketing team. This position involves leveraging data analytics to enhance marketing strategies and improve decision-making processes. The ideal candidate will engage in data collection, analysis, and experimentation to provide actionable insights that influence marketing investments. The role requires a passion for marketing and a strong analytical background to support various marketing initiatives.

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
• 4 years of experience in delivering campaign analysis, automated analytics pipelines, audience segmentation, or propensity modeling.
• Experience in engaging with external clients on measurement approaches and statistical analysis.

• Own and manage data infrastructure to generate deep user and market insights.
• Drive causal experimentation by designing and consulting on A/B experiments with external partners.
• Deliver customer-centric, data-driven insights to understand the impact of marketing strategies.
• Frame and solve ambiguous problems using statistical methods and develop evaluation frameworks.
• Build relationships with product teams to innovate new measurement methodologies.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.