What you’ll be doing...

As a data scientist on the CX SOI team, you will primarily develop machine learning solutions that will predict a customer’s needs/intentions in real-time at the moment of interaction, in batch prior to the event, or in batch after the event for analytical labeling/categorization. The outputs of these models will then be used to determine the optimal engagement and experience to provide to the customer.

  • Partner with functional and channel stakeholders to define use cases and model targets.
  • Work with domain experts to understand data sources and complete feature engineering.
  • Design and execute experiments with training data sets to determine the best models to apply and perform cross validation to test the efficiency of the resulting algorithms.
  • Partner with production engineers to test and deploy your models for real-time, streaming, or batch scoring.
  • Compare the live performance of your models to expectations and evaluate any gaps or opportunities.
  • Build solutions to support the overall project, including use case sizing/analysis, label generation, data schemas, ad hoc analytics, output structure/packaging, or end-to-end prototype demos.
  • Present your own work to team members, peers, and leadership, and will build any visualizations or presentations necessary for those communications.

What we’re looking for...

You are an experienced data scientist and an expert in your field. You regularly process and analyze big data. You experiment quickly to test hypotheses and make definitive decisions based on the results. You proactively research emerging developments in machine learning and apply what you learn to the projects at hand. You are a strong communicator, able to summarize and frame your results to influence peers, stakeholders, and partner groups. You take great pleasure in sharing learnings and best practices with your team.

You’ll need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Six or more years of relevant work experience.
  • Proficiency in Python, SQL, and Linux Shell/equivalent, and familiarity with HDFS.
  • Experience leading the end-to-end design, development, and deployment of predictive modeling solutions.

Even better if you have:

  • Masters/PhD in Statistics, Math, Economics, Engineering, Computer Science, Business Analytics, Data Science, or a related field.
  • Deep and demonstrated expertise in applying machine learning to solve a class of AI problems such as NLU/NLP, Reinforcement Learning, Voice Biometrics, Text Mining, and Intelligent Process Automation.
  • Experience and knowledge of deep neural networks, including CNN and RNN.
  • Experience with using big data to develop models.
  • Experience with Spark.
  • Experience presenting to and influencing functional leaders and stakeholders.
  • Problem solving, analytical, and research capabilities.
  • Verbal and written communication skills.

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.