What you’ll be doing...

Verizon’s Data Analytics, Insights and Enablement team works with some of the largest data sets collected from the largest, more reliable network. We are responsible for providing fast, clean, and relevant data for Verizon’s network and field organizations as well as key measurements and insights about performance to front line employees serving our customers. You will work side by side with Verizon team members and other partners to develop next generation technologies to ensure our networks are available when our customers need them through complex, scalable data platforms, with ever growing and interesting challenges.

  • Designing, architecting and developing data analytics systems for various use cases including but not limited to network performance and field operations.
  • Participating and contributing in engineering lifecycle including writing production code, building end-to-end machine learning solutions, conduct code reviews and working closely with infrastructure teams
  • Building scalable systems to process petabytes of wireline and wireless data to provide real-time insights into the health of Verizon networks.
  • Building batch and real-time data pipelines to ingest and transform data for model training/ testing; and building and deploy model inference pipeline.

What we’re looking for...

You will need to have:

  • Bachelor's degree or four or more years of work experience.
  • Six or more years of relevant work experience.

Even better if you have:

  • A degree in Computer Science, Engineering or related discipline.
  • Six or more years of architectural design experience, preferably focused on Hadoop, Open Source and Big Data.
  • Solid Software Development skills with proficiency in Java and Python.
  • Computer science fundamentals in object-oriented design, data structures and algorithms and complexity analysis.
  • Experience working in distributed computing with Apache Hadoop, Apache Spark, Apache Druid and data ingestion frameworks like Apache Gobblin, Logstash, open source data connectors, and real-time data streaming services like Apache Kafka, Apache Flink and or Apache Storm/Pulsar.
  • Experience with Machine learning tools like TensorFlow, scikit-learn, Pandas, Kera’s, etc.
  • Strong experience with Big data processing tools like Hadoop/Hive/HBase/Oozie/HDFS/Yarn.
  • Experience implementing and monitoring big data pipelines and working in a large, complex devops and CICD environment.
  • Experience in production scale software development with ML/AI use cases.
  • Strong background in basic machine learning techniques including Anomaly Detection, Time-series, Deep Learning, supervised and unsupervised learning.
  • Experience in building scalable solutions using advanced analytics and machine learning techniques.
  • Working in an Agile-team environment, with other data engineers, data scientist, ML engineers, etc.
  • Experience in feature engineering for both ML/DL models, A/B testing, data management and model governance.
  • Experience in productionizing ML/DL models with containers using Docker and Kubernetes.
  • Network domain knowledge.
  • Willingness to travel.

When you join Verizon...

You’ll have the power to go beyond – doing the work that’s transforming how people, businesses and things connect with each other. Not only do we provide the fastest and most reliable network for our customers, but we were first to 5G - a quantum leap in connectivity. Our connected solutions are making communities stronger and enabling energy efficiency. Here, you’ll have the ability to make an impact and create positive change. Whether you think in code, words, pictures or numbers, join our team of the best and brightest. We offer great pay, amazing benefits and opportunity to learn and grow in every role. Together we’ll go far.

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.