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...

Verizon is serious about innovation. About being the first and being the best. Verizon Location Technology (VLT) sits at the core of the Strategy and New Business Development organization and is a critical part of driving innovation across our global customer base, both inside and outside of Verizon. Backed by more than 50 years of location-based expertise, we are building solutions that leverage the power of location intelligence to help drive technologies of the future. Technologies like 5G, Multi-Access Edge Computing and Artificial Intelligence that are allowing us to create products that were previously impossible. We’re building tomorrow with the best of today.

  • 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.
  • Conduct 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’ll need to have:

  • Bachelor’s degree in engineering, statistics, or mathematics or four or more years of work experience.
  • Four or more years of relevant work experience.
  • One or more years of experience with exceptional data mining, statistical analysis, and coding experience

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

  • Master’s degree.
  • Skills with analyzing and deconstructing very large data sets.
  • Exceptional data mining, statistical analysis, and coding skills.
  • Experience on the Amazon Web Services platform.
  • Understanding of geospatial databases such as Postgres.
  • Ability to balance the “art and science” of solving analytical problems using quantitative and qualitative approaches.
  • 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.
  • Thought leadership experience in location based analytics.
  • Experience with mobile technologies, geospatial and location services.
  • Experience with Deep Learning technologies such as Convolutional Neural Networks and their application to computer vision.
  • Familiarity with agile development methodology.

Compensation

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefits, short term incentives, 401 (k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance and tuition assistance, plus other incentives,we’ve got you covered with our award-winning total rewards package. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

If you are hired into a Colorado work location, the compensation range for this position is between $80,600 and $149,800 based on a full-time schedule. The salary will vary depending on your location and confirmed job-related skills and experience.  This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.

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.