Senior Business Data Scientist, Revenue Acceleration, Google Cloud

hace 1 semana

Ciudad de México Google A tiempo completo

**Minimum qualifications**:

- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 4 years of experience in a Data Science role using statistics and machine learning to solve product or business problems.
- 4 years of experience using SQL and programming in Python, TensorFlow, or Pytorch.
- Experience in cross functional collaboration, with program management, go-to-market, engineering, or product teams.

**Preferred qualifications**:

- PhD in a quantitative discipline such as Computer Science, Engineering, Statistics, Economics, Operations Research, or equivalent practical experience.
- 6 years of industry experience in a Data Science role (4 years with PhD) using statistics and machine learning to solve product or business problems
- Experience with the full technical development cycle of Data Science solutions including data sourcing and pre-processing, model development, refinement, and deployment.
- Experience working in partnership with non-technical users to define requirements, explain technical concepts to business users, etc.
- Experience in driving a project from an experimental idea to a proof-of-concept to a launched product feature.

About the job
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

**Responsibilities**:

- Process large amounts of data from multiple sources and extract relevant insights.
- Partner with non-technical stakeholders to understand their analytical needs, help frame the problem by asking the right questions, and prioritize requirements. Effectively communicate results of technical work to non technical audiences.
- Produce actionable data-driven insights, perform statistical analyses, build Machine Learning solutions, and design experiments to measure the effectiveness of models, tools, and programs.
- Research new ways of modeling data proactively to unlock actionable insights or improve business processes.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.

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