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...

At BlueJeans, by Verizon, we’re transforming the way people meet by creating a human connection in every experience. Together, we’re bringing video to everyone, regardless of location or device, including mobile, desktop, or room systems. We work with thousands of companies worldwide to upgrade everyday meetings, large-scale events, and social network broadcasts by replacing traditional web conferencing with face-to-face video communication. All our customers have one trait in common: they understand the benefits to bringing their employees, leaders, and partners closer together.
The BlueJeans Customer Success Business Analytics team grows long-term profitable customer relationships by making strategic, measurable contributions to customers’ unique business objectives. As a key driver of account enablement, adoption expansion, and end-user engagement, the Customer Success Team is directly impacting BlueJeans rapid growth across the cloud based video collaboration market.
We are looking for a data junkie who loves wrangling through huge data sets of usage, stats, clickstreams, free text feedbacks and more to predict the user experience, adoption and retention. This person will be adept at solving complex problems and articulating the results in a lucid manner. If this sounds like you, then we’ve got the problem for you and the data to solve it.

  • Lead discovery process with Stake holders to identify problems and expected outcomes.
  • Collaborate with subject matter experts cross functionally and within the Customer Success organization to determine relevant data sources.
  • Build statistical/machine learning models to extract insights.
  • Communicate the insights/recommendations to a wide spectrum of stakeholders.
  • Identify, create, and maintain dashboards and report that provide insight into Customer Success KPIs such revenue, product/ feature adoption, retention, customer health, etc.

What we’re looking for...

You’ll need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Six or more years of relevant work experience.
  • Willingness to travel.
  • Valid driver’s license.

Even better if you have:

  • B.E/Masters in Computer science/Statistics or equivalent.
  • One or more years of experience in predictive modelling, strong knowledge of machine learning algorithms.
  • Strong understanding of Customer Success challenges & initiatives, particularly around customer lifetime value, retention, growth, adoption & net promoter score (NPS).
  • Strong in R,Python (numpy, scipy etc)
  • Very strong SQL and data visualization
  • Exposure to Big Data platforms such as Spark, Mahout, Scala, AWS machine learning.
  • Great communications skills.


Verizon will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

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.

COVID-19 Vaccination Requirement

Verizon requires new hires to be fully vaccinated against COVID-19. Verizon provides reasonable accommodations consistent with legal requirements (e.g., for medical or religious reasons).