Head of Data Science, Google Cloud Marketing

Job description

Minimum qualifications: - Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. - 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. - Experience managing and developing teams of data scientists. - Experience building and deploying machine learning models for business applications (e.g., lead scoring, attribution, forecasting). Preferred qualifications: - 11 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. - 6 years of experience as a people manager within a technical leadership role. - Experience with cloud computing platforms (e.g., Google Cloud Platform, BigQuery, Vertex AI) and handling large-scale datasets. - Deep understanding of the B2B enterprise SaaS marketing and sales cycle, demand generation funnels, and marketing technology stacks (e.g., Salesforce, Marketo). About the job: Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As pa...