Senior AI Engineer

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 live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you’ll be doing…

You will join a dynamic team of propensity modelers dedicated to supporting Verizon’s base management organization as it transitions to an agile pod model. As an essential member of this team, you will be assigned to a specific base management pod focused on key moments in the customer lifecycle and specific trigger events. In this role, you will be providing advanced machine learning modeling support that empowers our pods and marketing partners to unlock microsegmentation and high-level personalization, directly driving down customer churn and maximizing lifetime value.

Your responsibilities will include:

• 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.

**Where you’ll be working…**

This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.

What we’re looking for…

You enjoy working in a collaborative, fast-paced environment and have a passion for transforming complex data into highly personalized customer experiences. You thrive when tackling challenging analytical problems and are energized by the opportunity to directly impact business outcomes like customer retention and engagement.

You’ll need to have:

• 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.

Even better if you have one or more of the following:

• Master’s degree or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.
• Knowledge of base management structures, customer lifecycle stages, or churn prevention strategies.
• Experience working in an Agile environment or within cross-functional, pod-based operating models.
• Experience with cloud platforms such as GCP, AWS, or Azure, and cloud-native machine learning tools (e.g., Vertex AI, SageMaker).
• Experience with machine learning framework ecosystems (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Strong communication skills with the ability to explain complex machine learning models and metrics to non-technical stakeholders.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

Where you’ll be working

In this hybrid role, you’ll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally pro…