Develop safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.
Apply statistical and data science methods to examine Google's protection measures, uncover shortcomings, and develop insights for security enhancement.
Drive business outcomes by crafting data stories for multiple stakeholders, including executive leadership.
Develop automated data pipelines and self-service dashboards to provide insights.
Work with sensitive content or situations which may be exposed to graphic, controversial or upsetting topics or content.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
2 years of experience in managing projects and defining project scope, goals, and deliverables.
Preferred qualifications:
Master’s degree or PhD in Computer Science, Statistics, Mathematics, Operations Research, or in a related quantitative field.
3 years of experience in data analysis or data science environment.
Experience in abuse and fraud environments, with web security, content moderation and threat analysis.
Experience with programming languages (e.g., Python, R, Julia, Java, C or C++), database languages (e.g., SQL).
Experience in applying machine learning techniques to datasets.
Excellent problem-solving and thinking skills, with attention to detail in a changing environment.
