MoveTheWorldForwardTogether

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We’re a diverse network of people driven by our shared ambition 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...

Responsibilities:

  • Perform analysis on fraud data/trends; design solutions using standard data science techniques.
  • Build sophisticated predictive models to assess the risk.
  • Translate analysis results into actionable fraud controls.
  • Explain analysis results to key business partners.
  • Communication & stakeholder management skills.

What we’re looking for...

You'll need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Four or more years of relevant work experience.
  • Python (including packages like SciKitLearn, numpy, pandas, keras tensorflow)
  • SQL experience one or many (Postgres, Oracle, SQL Server, Teradata)
  • Experience in VLDB, enterprise environments.
  • Programming Language(s): Experience in combinations of SQL, Python
  • OS/HW: Experience in Linux/Unix open systems, AWS and/or Windows environment
  • Strong analytical skills and ML Modeling experience (Supervised, Unsupervised, Neural Networks)
  • Good written and verbal communication.
  • Four or more years of analytical experience.

Even better if you have:

  • A degree.
  • Experience with other data analysis software and scripting languages (e.g. R, SAS).
  • Strong background in statistics.
  • Risk management/modeling experience.
  • Master’s in math / statistics / computer science or related fields.
  • AWS experience a plus.