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The Senior Data Science Engineer will develop and implement Agentic AI solutions and mathematical models to optimize supply chain and business operations. The role involves building autonomous systems using frameworks like LangGraph and integrating LLM APIs to deliver actionable insights and data-driven products.
When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people…
Design, build, and optimize enterprise data architecture, ETL/ELT pipelines, and cloud data warehouses at scale, using SQL, Python, and AWS/GCP, while leading DevOps/DataOps practices.
Lead a team of data scientists to build AI-driven propensity models that reduce customer churn through hyper-personalization and microsegmentation for Verizon’s base management.
Build, train, and deploy AI/ML propensity models to predict customer churn and personalize marketing at Verizon, using Python, R, SQL, and LLM tools like LangChain and RAG.
Build and deploy enterprise-grade GenAI and ML systems, including agentic workflows and RAG pipelines, while implementing governance, monitoring, and cost controls across cloud platforms like GCP and AWS.
Build and deploy ML models to predict customer churn and personalize marketing at Verizon, using Python, SQL, and cloud tools like GCP/AWS.
Lead Verizon’s shift to a governed federated data model, unifying 300K+ tables across Google Cloud and legacy systems to enable high-velocity AI and analytics.
Principal AI Engineer at Verizon, leading complex propensity models to predict customer behaviors and churn, empowering marketers and driving customer retention.
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