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 design, implement and support the full lifecycle of high-performance Artificial Intelligence and Machine Learning systems, software, services and solutions in support of data science initiatives in Artificial Intelligence and Data Organization (AI&D).

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 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

  • Contribute to building data models for analytical purposes

  • Design, build and maintain tools that automate common tasks that serve both technical support staff and data scientists

  • Provide tools, guidance and assistance to students and faculty to help them effectively manage their code and data

  • Diagnose and resolve complex problems spanning multiple systems

  • Implement automation tools and frameworks (CI/CD pipelines). Knowledge of Ansible, Jenkins, Jira, Artifactory, Git, etc.

What we’re looking for...

You’ll need to have:

  • Bachelor’s degree or four or more years of work experience
  • Four or more years of relevant experience
  • Experience with Big Data systems and Data Science platforms.
  • Experience in creating and managing production Data Science platforms like Datarobot, Domino Data Labs,
  • Demonstrated expertise deploying and supporting complex scientific platforms, tools, and software (examples include SAS, R, Python, Hadoop, SQL, NoSQL, Tensorflow, RStudio, and Jupyter Notebook)

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

  • A degree.
  • General operational expertise such as good troubleshooting skills, understanding of systems
  • Able to analyze, evaluate, and implement complex IT systems, along with the ability to diagnose and resolve complex problems
  • Good knowledge of Linux as Hadoop runs on Linux.
  • 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
  • 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

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.