Google Cloud's GCP Protection Analytics (GPA) team is looking for a data scientist to partner with product and engineering teams to deliver data science solutions to stop bad actors and enable a trusted experience for customers on Google Cloud.
Requirements
- 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 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).
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, including producing write-ups, dashboards, and data visualizations to convey the findings and recommendations to our team and cross-functional stakeholders.
- design, implement, and improve machine learning solutions in production.
Other
- 2 years of experience managing projects and defining project scope, goals, and deliverables.
- Excellent communication skills, with the ability to convey the results of the work.
- Seattle, WA, USA; Kirkland, WA, USA
