Staff Business Data Scientist, Google Cloud Marketing

Job description

Minimum qualifications: - Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. - 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. - Experience deploying ML models into production environments. Preferred qualifications: - 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. - Experience with Machine Learning Operations (MLOps) tools and practices. - Understanding of business-to-business (B2B) enterprise SaaS business cycles, demand generation funnels, and marketing technology stacks. About the job: Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sle...