Data Science Engineer

Data Science Engineer

Township of Warren, NJ 07059 2016-09-30 - –

verizon Verizon


Verizon is looking for out-of-the-box thinkers. People who are smart, hard-working, and really want to help transform the way we do operations. What we do really matters to the business. This is a great opportunity for you to bring your technical skills and experience to life as part of a team within a team. We operate with a lean startup mentality within a large directional division. You will have the experience and expertise of the best network team in the world behind you as you help the team transform content delivery, mobility, and Verizon's enabling of the Internet of Things.

A successful candidate will have a passion for exploiting open-source tools, a love for gaining insight from data and be comfortable coding, scripting, and contribute with sharing and collaboration. Learning from data flowing through our core systems is part of the vision for transforming operations.

Work with large volumes of both structured and unstructured data to aid in decision making cognition

Execute continuous integration, continuous deployment, and DevOps best practices

Leverage and support API based approach

Provide architectural input and review of services and APIs for data ingest and dispersal within the ecosystem

Provide service integration techniques for data visualization

Discovery of dependencies, and repeating infrastructure, platform, or application component issues

Troubleshoot and triage problem reports, resolve, and escalate as required

Produce documentation for code, APIs, and procedures


Software development (e.g. C++, Java)

Scripting (e.g. Python, Shell, Ruby, Perl, other)

Linux operating systems

Combination of the following: multivariate calculus, statistics, multimodal signal processing, advanced machine learning, pattern recognition and learning, predictive analytics, and high performance computing

Desirable Qualifications

Experienced system architecture and design

Experienced Linux systems administration in virtualized environment

Contributions to open-source projects and/or recent publications

Equal Employment Opportunity

We’re proud to be an equal opportunity employer – and celebrate our employees’ differences, regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better.

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