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Job Details


Verizon Communications Inc

Machine Learning Specialist

Equipment/Technology Specialist

Equipment and Facilities Specialist

No

New York, New York, United States

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 be part of a technology-focused team developing our next-generation orchestration AI. This is a research and development role that involves a lot of architecture design/planning, best practices, and evaluation of incoming technologies. You’ll also be working with several of our teams in helping to create/develop real-world models for upcoming MVP products. Your responsibilities will include owning the overarching solution, working closely with software engineering teams to bridge key technical relationships, and driving projects towards success. You will have a tremendous amount of individual responsibility and influence over the direction our product builds. You will need to be independent, self-driven, self-organizing and hungry for learning.

  • Use your experience and skill set (along with your imagination) to manipulate and analyze complex, high volume, high dimensionality data from varying sources to help develop various types of data-driven insights and products.
  • Spearhead statistical analysis, 3rd party data integration and hypothesis testing.
  • Establish scalable, efficient, automated processes supporting model development, model validation, and model implementation against large scale datasets.
  • Collaborate with data engineers to operationalize developed models and algorithms for production.
  • Use your passion for identifying and answering hard questions using the power of data driven decisioning to improve business performance.

What we’re looking for...

You have an aptitude for solving problems, a never say die attitude, an entrepreneurial spirit, and a desire to unlock the strategic value that lies within Verizon’s unique data.
You'll need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Four or more years of relevant work experience.
  • Three or more years of experience with data mining, statistical analysis, and coding experience.

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

  • Master’s degree preferred. PhD (e.g. applied mathematics, statistics, physics, computer science, operations research).
  • Skills with analyzing and deconstructing very large data sets.
  • Experience with Machine Learning technologies like PyTorch, Keras, or Tensorflow.
  • Exceptional data mining, statistical analysis, and coding skills required.
  • Experience on the Amazon Web Services platform.
  • Understanding of geospatial databases such as Postgres.
  • The ability to balance the “art and science” of solving analytical problems using quantitative and qualitative approaches will be critical.
  • Turned significant amounts of data into informative and insightful actions through various statistical techniques that create explosive business results (not sweating the small stuff).
  • Ability to work independently as well as lead small cross-functional teams.

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.