Senior AI Engineer: Propensity & Personalization (Hybrid)

Verizon; Alpharetta (GA); Hybrid; USD 101,000 - 194,000; Full time

Job summary

Verizon is seeking a propensity modeler to join a dynamic base management team. You will build, deploy, and maintain predictive models to reduce churn and improve lifetime value, partnering with pods and marketing to translate model outputs into personalized customer journeys.

The role is hybrid, with defined office and remote days. Candidates should have 4+ years of experience, strong Python/R skills, and experience in production ML environments using SQL and cloud tools.

Qualifications

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant experience required, demonstrated through work experience and/or military experience.
• Experience building, deploying, and maintaining predictive models or propensity models in a production environment.
• Experience with Python, R, or similar programming languages for data science and machine learning.
• Experience with SQL and database technologies for large-scale data manipulation and extraction.

Responsibilities

• Developing, training, and deploying advanced propensity models to predict customer behaviors, churn risk, and lifecycle triggers.
• Collaborating cross-functionally with assigned base management pods to translate complex business problems into actionable data science solutions.
• Unlocking microsegmentation and personalization strategies by translating model outputs into tailored customer journeys for marketing execution.
• Monitoring, evaluating, and refining model performance over time to ensure high accuracy, relevancy, and business impact.
• Partnering with technology and data engineering teams to scale machine learning workflows and production systems.
• Communicating complex analytical concepts and model insights clearly to business partners and executive stakeholders.

Skills

Python

R

SQL

Machine learning

Education

Bachelor's degree or 4+ years experience

Tools

TensorFlow

PyTorch

Scikit-Learn

Vertex AI

SageMaker

GCP

AWS

Azure

Job description

Verizon is seeking a propensity modeler to join a dynamic base management team. You will build, deploy, and maintain predictive models to reduce churn and improve lifetime value, partnering with pods and marketing to translate model outputs into personalized customer journeys.

The role is hybrid, with defined office and remote days. Candidates should have 4+ years of experience, strong Python/R skills, and experience in production ML environments using SQL and cloud tools.