When you join Verizon

Verizon is a leading provider of technology, communications, information and entertainment products, transforming the way we connect across the globe. We’re a diverse network of people driven by our ambition and united in our shared purpose 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...

As an AIOps Data Scientist you will be responsible for providing solutions to IT Operational problems by applying AI/ML and Data Science. You will bring in expertise in using Big Data and AI/ML functionality to find opportunities to enhance and partially replace primary IT operation functions, including system availability, performance monitoring, event correlation analysis and IT service management automation. The position will involve taking these skills and applying them in generating insights that can be used to take actions in preventing / minimizing system downtimes, service failures and performance issues.

With hybrid environments complexity, and volume of operational data and alerts increasing exponentially, the ability to manually monitor the systems and meet customer SLAs is becoming challenging. Verizon is in a Digital Transformation journey to increase the use of Artificial Intelligence for IT Operations (AIOps).

  • Building self-healing operational capabilities by utilizing Machine Learning, Big Data and Analytics systems.
  • Finding opportunities to enhance and partially replace primary IT operation functions, including system availability, performance monitoring, event correlation analysis and IT service management automation using AIOps.
  • Building data models to generate insights that can be used to take actions in preventing / minimizing system downtimes, service failures and performance issues.
  • Working with ingestion of data from multiple IT and business operations tools.
  • Working on increasing IT efficiency and delivering a superior customer experience, drive automation and collaboration.
  • Identifying and automating measurement of operations SLAs and SLOs.

What we’re looking for...

You have a good understanding of application monitoring tools, industry experience working in an AWS cloud environment where they devised and deployed large-scale production infrastructure and platforms for data science.

You’ll need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Six or more years of relevant work experience.
  • Experience in implementing end to end AI/ML and Data Science solutions, includes problem understanding, correlation analysis, data preparation, AI/ML solution design, model training, model validation, production deployment and model performance monitoring.
  • Proficiency in Supervised & Unsupervised ML algorithms, statistical analysis, quantitative analytics, forecasting and other multivariate techniques.
  • Strong programming skills in Data Science tools like Python, PySpark, MLlib.
  • Significant experience with AWS cloud environments, working knowledge of S3, EC2, EMR, Sagemaker, Athena, RDS and Lambda. Certification in appropriate areas.
  • Experience with large scale data ingestion using real-time data streaming architecture and tools like Kafka and Spark.

Even better if you have one or more of the following:

  • Bachelor’s degree or six or more years of work experience. Preferably in Computer Science/ Mathematics/ Statistics.
  • Experience in mining large data sets using sophisticated analytical techniques to generate actionable insights and enhancement recommendations.
  • Experience managing an enterprise platform and service, handling new customer demand and feature requests.
  • Experience provisioning computational resources in a variety of environments.
  • Knowledge on IT application monitoring tools and underlying data elements.
  • Experience with automation strategies e.g. CI/CD.
  • Experience in providing recommendations for improvement to algorithms or solutions based on model performance reports.

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. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.