Business Data Scientist, Gemini Application Marketing

**Minimum qualifications**:- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.- 3 years of experience working in marketing insights utilizing statistical techniques (e.g., significance testing) and systems (e.g., BigQuery), coding (e.g., Python, R, SQL), querying databases, or statistical analysis.- Experience collaborating with multiple stakeholders with different interests.- Experience managing research and measurement agencies.- Ability to communicate in English fluently to enable collaboration with internal stakeholders.**Preferred qualifications**:- 4 years of experience identifying the appropriate data set, analysis and solution needed to address stakeholder concerns and questions.- Experience with R or Python for statistical analysis and data visualization.- Knowledge of data mining principles, querying data sets, connecting multiple data sources, building dashboards in data visualization tools (e.g., Data Studio, Looker, Tableau), and statistical modeling techniques (e.g., regression analysis, data clustering).- Ability to use data for storytelling for both technical and non-technical audiences.**About the job**:Google’s goal for Gemini is to be the most helpful AI assistant by giving users direct access to Google’s latest AI models and capabilities. The Gemini Application Marketing Team plays a critical role in this mission, and is a fast-paced and dynamic team that is responsible for delivering ambitious business goals.As a Gemini Application Marketing Business Data Scientist, you will be responsible for generating actionable insights from data that enable marketers to develop valuable global and regional marketing programs for Gemini Application. You will be part of the fast-paced, dynamic Gemini Application Marketing team, which is part of the cross-functional team responsible for establishing Gemini as a leader in the generative Artificial Intelligence (AI) space.Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems-from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can-changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.**Responsibilities**:- Conduct data analysis to spot trends and inform marketing opportunities, and build tools for ongoing data analysis and trend spotting across moments throughout the year.- Track and quantify marketing campaign impact on business and marketing goals, while assisting in improvement of impact measurement methodologies.- Identify distinct user segments based on behavior, demographics, and acquisition sources to inform personalized marketing strategies and product development priorities and also identify usage patterns and inform campaigns on implications to maximize engagement.- Partner with product data science to prioritize and execute quantitative analysis and advanced modeling that delivers actionable insights.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 also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.