Responsibilities overview and data-driven ownership to help steer product and business decisions.

• Data governance and quality: Oversee gathering, extraction, and validation of data from diverse sources to ensure quality and security standards are met.
• Strategic data partnerships: Collaborate with stakeholders to define business goals, data requirements, and analytical roadmaps for key projects.
• Analytical decision making: Formulate and interpret complex data to derive actionable conclusions and guide strategic business decisions.
• Reporting and tooling: Create automated dashboards, tools, and reports to monitor performance, guide product decisions, and streamline processes.
• Metrics and impact tracking: Develop and implement metrics to track and evaluate the deployment and impact of data-driven solutions across teams.
• Technical mentorship: Contribute production-level solution code and provide technical expertise to identify product gaps and mentor other teams.

Requirements overview and qualifications for the data science role.

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics or a related field and 5 years of progressive post-baccalaureate experience in the job offered or in a Business Data Science-related occupation; or a Master’s degree with 3 years of relevant experience.
• Framing ambiguous business problems into tractable quantitative solutions with at least 3 years of related experience.
• Statistical analysis using Python or R to build models for solving business problems.
• SQL querying and extracting large datasets from databases.
• Presenting technical analysis and statistical concepts to non-technical audiences and senior leadership.
• Creating data dashboards for exploratory data analysis.

Benefits

• Benefits determined by role, location and Google policy
• Learn more about benefits at Google