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...

As a data scientist, you’ll be responsible for leading specific longer-term analytics projects, such as building and maintaining propensity models or customer micro-segmentations, and for managing requests presented to the team for long-term advanced statistical modelling. You’ll work to understand the modelling request, how the output will be used, the request priority and how it fits within the overall VBG strategy. You’ll own all parts of the model development process:

  • Working with the functional lead and business stakeholders to understand the business need and context for the modelling project.
  • Creating the modelling approach and strategy.
  • Putting together a project plan for delivery.
  • Working with a data engineer on the team to design the dataset, leveraging data available in the data warehouse.
  • Building the statistical model.
  • Analysing the model results and iterate on the model to optimize it.
  • Working with the functional lead to identify key insights from the model and communication strategy for stakeholders.
  • Explaining the model and answer questions from stakeholders.
  • Setting up the production scoring pipeline.

Where you'll be working…

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

What we’re looking for...

You are good with numbers and analysis, and you love to uncover insights and use data to make predictions. You have a strong theoretical background in statistical methods and you leverage your experience to bring different modelling approaches to bear depending on the business case, stakeholder requirements and available data. You enjoy collaborating with fellow team members to build datasets and produce modelling outputs and insights, then sharing those insights with business stakeholders using communication tailored to your audience (Director up through VP level). You also enjoy working independently and owning projects, ensuring they’re completed on time and with a view toward the long-term viability and sustainability of the project outputs.

You'll need to have:

  • Bachelor’s Degree in Computer Science, Management Information Systems, E-Commerce, Economics, Statistics, Engineering or four or more years of work experience.
  • Six or more years of relevant work experience working with analytics and data mining in a professional environment.
  • Experience in model development with R, Python, or SPSS.
  • Willingness to travel up to approximately 25% or less of the time.

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

  • Master’s degree in a technical field.
  • Experience in analytics techniques and how to apply them to generate insights and recommendations.
  • Knowledge of end-to-end business process and how to recommend data-driven decisions in the B2B Sales space.
  • Good communication skills to translate complex technical issues to non-power users in a business-friendly way.
  • Three or more years of experience in SQL and extracting and manipulating data from data warehouses (Teradata preferred).
  • Three or more years of experience in defining analytic approaches based on ambiguously defined requirements.
  • Three or more years of experience in providing QA of analytics outputs and addressing risks.
  • Three or more years of experience in creating work plans to execute analytic models from end to end and collaborating in a team setting.
  • Experience in investigating and solving complex technical problems.
  • Experience in Business intelligence/visualization software (e.g. Tableau).

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

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.