Data Scientist, Product, Google Cloud Business Platform
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Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field or equivalent practical experience.
- 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree.
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
About the job
In this role, you will Conduct analyses to identify new opportunities, research, develop, and validate metrics to define success. You will design and analyze experiments to measure the effects of product changes. You will shape the development of Generative Artificial Intelligence (GenAI) Agents across Google Cloud Business Platform. You will increase data access through the development of dashboards and reporting.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Deliver presentations of data-driven insights and recommendations to multiple levels of stakeholders.
- Define, own and evolve product success metrics. Report, analyze and forecast trends of key product metrics and make recommendations to improve them.
- Collaborate with the Engineering team to develop prototypes and productize machine learning models by framing a business case into a machine learning program.
- Lead the design, analysis, and interpretation of product experiments. Apply technical experience with data analysis, modeling, and causal inference to answer the product questions.
- Partner with Product, Engineering, and cross-functional teams to influence, prioritize and support product strategy.
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