When you join Verizon

Verizon is a leading provider of technology, communications, information and entertainment products, transforming the way we connect across the globe. We’re a diverse network of people driven by our ambition and united in our shared purpose 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...

You will architect, design, implement and support the full lifecycle of high-performance AI & ML systems, software, services and solutions in support of data science initiatives in Artificial and Intelligence (AI&D). You will provide thought leadership to the Platform and Ops team.

This position is part of our AI&D organization which focuses on delivering the power of data and AI to drive our marketplace leadership through innovative solutions that create value for our customers, shareholders, V teamers and society, responsibly.

  • Responsible for architecting, designing and implementing the full lifecycle of data science tools and data analytics platforms in support of analytic data warehouse, academic programs and research, ensuring quality, security, stability, integrity and recoverability
  • Contributes to building data models for analytical purposes
  • Architect, Designs, builds and maintains tools that automate common tasks that serve both technical support staff and data scientists
  • Provides tools, guidance and assistance to engineers to help them effectively manage their code and data
  • Diagnoses and resolves complex problems spanning multiple systems
  • Implement automation tools and frameworks (CI/CD pipelines). Knowledge of Ansible, Jenkins, Jira, Artifactory, Git, etc.
  • Function as SME both within Verizon and externally within industry
  • Serve as technical lead and advisor to Verizon Teams
  • Serve as trusted advisor for the business and IT groups

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
  • Experience working with Public Cloud such as GCP, AWS or Azure
  • Experience with Big data systems and Data Science platforms
  • Experience in creating and managing production Data Science platforms like Datarobot, Domino Data Labs,

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

  • A degree. Bachelor’s degree preferred
  • Demonstrated expertise deploying and supporting complex scientific platforms, tools, and software (examples include SAS, R, Python, Hadoop, SQL, NoSQL, Tensorflow, RStudio, and Jupyter Notebook)
  • Experience building platform for E2E ML pipelines using Python, R, H2O, Tensorflow and Big Data platform: Data prep, Model Build, training models, Deployment, Scoring, Monitoring and optimization
  • General operational expertise such as good troubleshooting skills, understanding of system’s
  • Ability to analyze, evaluate, and implement complex IT systems, along with the ability to diagnose and resolve complex problems
  • Familiarity with open source configuration management and deployment tools such as Puppet or Chef and Linux scripting.
  • Maintains knowledge of current and emerging technologies, technology trends, and industry best practices for areas of responsibility

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.