What you’ll be doing...

Verizon is serious about innovation. About being the first and being the best. Verizon Location Services (VLS) 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 are allowing us to create products that were previously impossible. We’re building tomorrow with the best of today.

  • Use your experience and skillset (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 products.
  • Conduct market/competitive research and analysis to understand current market trends, identify “white space” opportunities, and understand technology distributions that could impact the Data Science road map.
  • Spearhead statistical analysis, 3rd party data integration and hypothesis testing.
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
  • Collaborate with other engineers or engineering teams to push the algorithms into production.
  • Use your passion for identifying questions and for answering hard questions with data 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.
  • Six or more years of relevant work experience.
  • Experience with big data technologies and statistical programming languages such as Python, R or Scala.

Even better if you have

  • Master’s degree or PhD in applied mathematics, statistics, physics, computer science, operations research, etc.
  • Exceptional data mining, statistical analysis and coding experience.
  • Experience analyzing and deconstructing very large data sets.
  • Aptitude for solving problems, entrepreneurial spirit, and a desire to unlock multi-millions worth of unique data.
  • Experience on the Amazon cloud platform and working in Spark, Redshift, Parquet.
  • Ability to balance the “art and science” by solving analytical problems using quantitative and qualitative approaches.
  • Passion for understanding and helping others understand how the MapQuest data and information can be leveraged everyday across B2C and B2B products.
  • Ability to turn significant amounts of data into informative/insightful actions through various statistical techniques that result in explosive business results.
  • Ability to work well independently as well as lead small cross-functional teams.
  • Thought leadership in Location Based Analytics.
  • Experience with mobile technologies, online advertising, geospatial and location services.
  • Experience with data services in support of high volume ad-serving, user profiling and targeting technologies.
  • Understanding of big data processing technologies such as Kafka, Hadoop, and NoSQL database.
  • Familiarity with agile development methodology.

When you join Verizon...

You’ll be doing work that matters alongside other talented people, transforming the way people, businesses and things connect with each other. Beyond powering America’s fastest and most reliable network, we’re leading the way in broadband, cloud and security solutions, Internet of Things and innovating in areas such as, video entertainment. Of course, we will offer you great pay and benefits, but we’re about more than that. Verizon is a place where you can craft your own path to greatness. Whether you think in code, words, pictures or numbers, find your future at Verizon.

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. Different makes us better.