Applied Machine Learning Analyst, GCP Protection Analytics

The Applied Machine Learning Analyst will be part of the GCP Protection Analytics team, responsible for delivering data science solutions to address abuse and security risks while enhancing customer experiences on Google Cloud. Responsibilities: Deliver cross-functional data science and analytics projects, including executing data analysis with SQL and Python, collaborating with product and engineering partner teams, and managing the project timelines. Develop an understanding of the abuse, security, and customer experience business problems our team works on in order to lead the ideation, design, and development of data science and analytics solutions to solve them. Perform data analysis to drive decision-making for our team, such as monitoring the rollout of new models, analyzing the impact of rules-based or machine learning model changes, or investigating the root cause of changes in key metrics. Communicate with technical and non-technical audiences at various levels of seniority, including producing write-ups, dashboards, and data visualizations to convey the findings and recommendations to our team and cross-functional stakeholders. Qualification: 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 managing projects and defining project scope, goals, and deliverables. Preferred: Master's degree in a quantitative discipline. 4 years of industry experience analyzing, extracting, and visualizing insights from datasets. 2 years of experience with one or more of the following languages: SQL, R, Python, or C++. 2 years of experience with machine learning systems. Experience building data science and machine learning solutions (e.g. sizing business problems, data exploration, feature engineering, modeling). Excellent communication skills, including the ability to convey the results of the work.

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