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Palo Alto Principal Engineer Software Network Security Data Path United States, California
Set the example for high levels of accountability. Execute and deliver impact both individually and through the team. Tool Management and OptimizationPlan, deploy, and manage GitLab, Vault, and Artifactory across...
You will tackle new and challenging problems in building a new generation of highly scaled data processing and analytics system for use in AI-powered use cases. You will collaborate with...
8+ years experience in developing data & AI governance software or integrating systems with governance systems. Experience working with large data collection and processing systems. Demonstrated proficiency in data management...
BS and a minimum of 3 years relevant industry experience. Proficient Python developer with 3+ years proven programming skills using standard ML tools such as PyTorch, Tensorflow, and HuggingFace. Good...
DESCRIPTIONYou’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help...
Set the example for high levels of accountability. Execute and deliver impact both individually and through the team. Tool Management and OptimizationPlan, deploy, and manage GitLab, Vault, and Artifactory across...
Data Scientists are responsible for analyzing and interpreting large and complex datasets to uncover insights that inform business decisions and drive innovation. They use a combination of statistical and machine learning techniques, as well as programming languages such as Python and R, to extract, clean, and transform data. They also use tools such as SQL, Hadoop and Spark to work with large datasets and perform data analysis.
Data Scientists work closely with cross-functional teams, such as product managers, marketing and operations, to understand their specific data needs and provide them with insights to make informed decisions. They also collaborate with data engineers to build and maintain the infrastructure necessary for data analysis. They also use data visualization tools such as Tableau and Power BI to create interactive dashboards and reports to communicate data insights clearly and effectively to non-technical stakeholders.