Data Science Engineer, Lead Analyst, Enterprise Data & Analytics
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The role
Develop and operationalize AI/ML models to power predictive insights across Sales, Sales Operations, Marketing, and Finance.
Lead the creation of automated narratives for executive summaries and build 'Ask EDNA' search capabilities for metrics and ad-hoc analytics.
Design and develop visualizations that present forecasted results and meaningful correlations.
Incorporate external data via statistical correlation models to benchmark sales and revenue trends against market factors.
Build scalable data pipelines and feature engineering workflows using Snowflake and dbt, ensuring data quality and model reliability.
Collaborate with cross-functional teams to translate forecasting and analytics requirements into production-ready AI solutions, and provide technical leadership in architecture and governance.
Lead the creation of automated narratives for executive summaries and build 'Ask EDNA' search capabilities for metrics and ad-hoc analytics.
Design and develop visualizations that present forecasted results and meaningful correlations.
Incorporate external data via statistical correlation models to benchmark sales and revenue trends against market factors.
Build scalable data pipelines and feature engineering workflows using Snowflake and dbt, ensuring data quality and model reliability.
Collaborate with cross-functional teams to translate forecasting and analytics requirements into production-ready AI solutions, and provide technical leadership in architecture and governance.
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