Principal AI Engineer

When you join Verizon

You want more out of a career. A place to share your ideas freely even if theyre 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 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 youll be doing...

You will serve as a lead individual contributor within our team of propensity modelers driving the technical execution of Verizons transition to a modern agile pod this principal-level role you will operate with a high degree of independence owning our most complex propensity models and supporting Verizons highest-priority highest-visibility base management pods. You will work directly at the critical touchpoints of the customer lifecycle and high-impact trigger events providing the advanced machine learning support needed to unlock deep microsegmentation and hyper-personalization. Your work will directly empower marketers optimize customer journeys and drive down churn across our most critical customer segments.

• Building training and deploying our most complex and high-priority propensity models to predict customer behaviors churn risk and key lifecycle triggers.

• Operating independently to manage end-to-end model development pipelines from advanced feature engineering to production deployment and monitoring.

• Collaborating closely with high-visibility base management pods and senior marketing stakeholders to translate complex business retention goals into actionable data science solutions.

• Owning the lifecycle of models deployed in high-impact areas ensuring continuous optimization accuracy and measurable business performance.

• Translating advanced analytical outputs into actionable microsegmentation strategies that enable marketing partners to deliver highly personalized customer experiences.

• Serving as a technical mentor and advisor to senior and mid-level AI/ML engineers on the team sharing best practices for model optimization and data pipelines.

• Presenting complex model insights performance metrics and strategic recommendations clearly to senior leadership and cross-functional business partners.

Where youll 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 were looking for...

You are a highly experienced data science professional who thrives on solving complex analytical problems with minimal guidance. You have a proven track record of managing high-priority machine learning projects and you excel at collaborating directly with business partners to deliver data-driven customer experiences that impact the bottom line.

You will need to have:

• Bachelors degree or four or more years of work experience.

• Six or more years of relevant experience required demonstrated through one or a combination of work and/or military experience or specialized training.

• Four or more years of experience independently developing deploying and optimizing complex machine learning or propensity models in a production environment.

• Experience working on high-priority or high-visibility technical initiatives within a corporate setting.

• Experience with Python R and SQL for advanced statistical modeling and large-scale data extraction.

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

• Masters degree in Data Science Computer Science Statistics or a highly quantitative field.

• Strong domain expertise in customer retention strategies churn prediction or customer lifetime value (CLV) modeling.

• Experience operating within an agile pod-based operating model directly supporting marketing or customer experience teams.

• Experience with cloud platforms (e.g. GCP AWS or Azure) and production MLOps tools for tracking and maintaining model workflows.

• Excellent communication and presentation skills with a demonstrated ability to explain advanced predictive models to non-technical stakeholders.

If Verizon and this role sound like a fit for you we encourage you to apply even if you dont meet every even better qualification listed above.

Scheduled Weekly Hours

Equal Employment Opportunity

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

Benefits and Compensation

Our benefits are designed to help you move forward in your career and in areas of your life outside of Verizon. From health and wellness benefit options including: medical dental vision short and long term disability basic life insurance supplemental life insurance AD&D insurance identity theft protection pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan up to 8 company paid holidays per year and up to 6 personal days per year paid parental leave adoption assistance and tuition assistance plus other incentives weve got you covered with our award-winning total rewards package. Depending on the role employees have the opportunity to receive compensation in the form of premium pay such as overtime shift differential holiday pay allowances etc. Newly hired employees receive up to 15 days of vacation per year which grows with additional service. For part-timers your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.