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Build ML models and dashboards to analyze security telemetry, prioritize vulnerabilities, and reduce false positives for a cybersecurity-focused product team.
Build ML models to reduce security alerts and create dashboards for governance, using telemetry and vulnerability data.
Build ML models and statistical analyses to prioritize security vulnerabilities and reduce false positives from telemetry data.
Build ML models to reduce security false positives, prioritize vulnerabilities, and create dashboards for governance within an ASPM framework.
Build ML algorithms and predictive models to analyze security telemetry, reduce false positives, and support data-driven security governance.
Build ML models and dashboards to analyze security telemetry, filter false positives, and support vulnerability management analytics.
Build ML models to cut security false positives, prioritize vulnerabilities, and analyze telemetry; create dashboards and statistical models for governance.
Build ML models and dashboards to prioritize security vulnerabilities using telemetry data and quantitative analytics.
Build ML algorithms and predictive models to analyze security telemetry, reduce false positives, and support vulnerability management with data-driven insights.
Build ML models and dashboards to analyze security telemetry, reduce false positives, and support governance for a cybersecurity product team.
Designs and maintains Snowflake data models and pipelines for retail analytics, writing Python and SQL to clean, transform, and document customer datasets.
Designs and maintains Snowflake data models and pipelines, writes Python and SQL to transform customer and behavioral datasets, and prepares AI-ready data structures.
Designs and builds Snowflake data models, cleans customer datasets, and writes Python/SQL to automate data workflows for a product-focused team.
Builds Snowflake data pipelines and Python/SQL scripts to clean, transform, and prepare customer/behavioral data for analytics and AI, while documenting workflows and translating business needs into technical specifications.
Senior Data Engineer builds customer data platform models, AI-ready datasets, and Snowflake semantic views using Python and SQL to transform and clean customer and behavioral data.
Senior Data Engineer builds Snowflake datasets, AI-ready models, and Python/SQL pipelines to transform customer sales and behavioral data into clean, structured views.
Designs and maintains Snowflake data models and Python/SQL pipelines to clean, transform, and serve customer and behavioral datasets for AI readiness.
Designs and maintains data models in Snowflake, writes Python and SQL to transform customer and behavioral datasets, and enforces data quality and documentation standards.
Senior Data Engineer builds Snowflake models and Python scripts to clean, transform, and analyze retail datasets for AI-ready analytics.
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