Principle Engineer-Data Science

Key Skills

Aartificial intelligence, Analytical and Problem solving, Deep Learning, Effective communication skills, Google Cloud Platform (GCP), Keras software library, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, TensorFlow

Job Description

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We’re a diverse network of people driven by our shared ambition to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

As a Principal (Data Science) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases

• Designing and building scalable machine learning models to meet the needs of given Business engagement. Provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices.
• Working in collaborative environment with global teams to drive solutioning of business problems
• Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations.
• Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources.
• Assisting with the mentorship and development of Junior members. Drive team towards solutions.
• Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices.

Where you’ll be working…

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

What we’re looking for...

You have strong analytical and coding skills, eager to work in a collaborative environment with global teams to drive AI/ML application in business problems, develop end to end AI driven solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and global cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice

You’ll need to have:

• Bachelor's degree or four or more years of work experience.
• Six or more years of relevant work experience.
• Experience in End-to-end AI development (Full stack development), and AI product development.
• Experience in building large scale customized and repeatable AI solutions with proven business benefits.
• Experience in Deep Learning and application of transformer-based architecture for various NLP, image or other use cases.
• Experience with diverse inputs, including (but not limited to) text, clickstream and sequential data.
• Working knowledge of packages like Pytorch, Keras and Tensorflow, in addition to other ML packages.
• Experience in machine learning, deep learning, and statistical modeling techniques.
• Experience in programming skills in Python or other relevant languages.

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

• Experience in AI use cases in telecom.
• Experience working on cloud platforms like GCP.
• Strong problem-solving skills and ability to work on complex, open-ended research problems.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment.

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 assigned office days set by your manager.

Scheduled Weekly Hours

40

Diversity and Inclusion

We’re proud to be an equal opportunity employer. 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.