Principal Data Scientist

Job Description

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 V Team Life.

What you'll be doing…

As a Principal AI Scientist, you will work closely with data science and engineering teams and the entire data scientist community at Verizon to proactively design and develop AI capabilities. These AI capabilities will include predictive, prescriptive and adaptive applications for all predictions and inferences at Verizon. Models will typically get implemented on-premise, in cloud and/or on the edge and in both real-time and batch mode, depending upon the business applications.

You will use past in-depth working experience in Deep Learning Frameworks (e.g. Pytorch), Generative AI (e.g. LLM, Multimodal LLM, Alignment) and Distributed systems. You will work on AI algorithm development, large-scale software, and system development pertaining to data curation, training, and inference deployment.

At Verizon, we are on a multi-year journey to industrialize our data science and AI capabilities. Very simply, this means that AI will fuel all decisions and business processes across the company. At $130B+ in annual revenue, this is a pioneering opportunity to design and shape AI at scale in the Telco industry. With our leadership in bringing 5G network nationwide, the opportunity for AI will only grow exponentially in going from enabling billions of predictions to possibly trillions of predictions that are automated and real-time. Therefore, it will be critical that this candidate possess previous experience in research and validation of AI and data science techniques.

• Develop Next Generation AI Capabilities

• Developing the next generation of AI that protects the privacy of our customers and ensures that our modeling practices are ethical and bias free.

• Test and validate all AI methods. Deploy and manage models throughout the end to end lifecycle.

• Bring thought leadership in this space by introducing ways of identifying and testing for biases in our models.

Technical Thought Leadership

• Operate as an expert and thought leader both within Verizon and externally within industry

• Serve as trusted advisor to all stakeholders at Verizon

• Coach and mentor our high-potential talent

Elevate the AI Practice

• Partner with academia and the startup ecosystem to identify and potentially bring in new AI approaches that can be of value to Verizon.

• Stay informed on the latest advancements in AI and technology space, finding ways to deliver value by applying and customizing these to our specific problem space.

• Help create an environment where our scientists are engaged in pioneering work that can be shared with the world in a number of ways like open source, publications, etc.

• Lead the way in creating AI applications designed with bias considerations and that promotes ethical AI both within Verizon and externally with Verizon’s partners.

• Support and further our best practices and governance routines to ensure adherence to model management policies, peer reviews, and compliance to our policy standards for privacy, ethics, and bias.

What we're looking for…

You'll need to have:

• Bachelor's 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.

• Two plus years of experience in applying AI in areas like personalization, forecasting, Churn, experimentation, computer vision, etc.

• Experience developing models and algorithms independently, writing your own code, developing strategy for algorithmic experimentation, and deploying in production

• Understanding and ability to explain both the code and the underlying math used in algorithms/models.

• Experience with AI/ML models, frameworks(keras, pytorch, etc.) and libraries/packages/apis (e.g., scikit)

• Experience with both batch and streaming models in production

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

• Advanced degree in Computer Science, Mathematics or similar field

• Advanced knowledge of math, probability, statistics, and models

• Experience with Hadoop, AWS or other distributed compute services

• Exposure to data structures, data modeling and software architecture skills

• Excellent communication skills

• Excellent cross-functional collaboration skills

• Outstanding analytical and problem-solving skills

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 work from home and a minimum eight assigned office days per month that will be set by your manager.

Scheduled Weekly Hours

40

Equal Employment Opportunity

We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.