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Boston Hub Office

Data Intelligence

Engr III- Data Science

  • Hyderabad, India

Job ID: R-1004487

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect around the world. We’re a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together—lifting up our communities and striving to make an impact to move the world forward. If you’re fueled by purpose, and powered by persistence, explore a career with us. Here, you’ll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife.

One of the objectives is to support the Finance 2.0 and Digital Transformation initiatives in Advanced Analytics by empowering the business through the use of advanced analytics, enhance decision making and allow for insight driven collaboration.

CFO Analytics team is looking for a talented and hands on data and analytics driven individual to join the team and contribute to the team's success.

  • As a Data Scientist, you will be working on multiple advanced analytics projects and drive change among the teams by deploying the solutions and insights.
  • You will help to envision, communicate, and facilitate deployment and execution of data and analytics work.
  • You will collaborate with multiple Business and Finance teams across Verizon.
  • Adhering to industry standards and best practices and understanding emerging technologies and trends to continuously improve the systems, application, infrastructure, and processes.

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.

BQ/ PQ’s:

You get excited by the possibilities that technology creates and how it can improve the way we do business. Applying your analytical skills and expertise to solve complex problems is personally rewarding. With strong written and verbal communication abilities, you’re able to cut through technical jargon to describe complex concepts in a way everyone can understand. People know you for your strong leadership and the way you inspire teams to perform at their best. No stranger to working in a fast-paced environment, you convey a sense of urgency and handle multiple competing priorities with ease, never missing a deadline.

You’ll need to have:

  • Bachelor/Master’s degree in Computer Science or Master’s degree in Statistics
  • 4 to 6 years of strong experience in analytical model building and designing analytical solutions
  • Strong communication & stakeholder management skills
  • Participate in the design, implementation and interpretation of advanced analytics concepts and projects related to Big Data, AI and ML/DL
  • Deep knowledge in Supervised, Unsupervised Machine learning and neural network techniques
  • Experience in using statistical computer languages (R, Python) to manipulate data and draw insights from large data sets.
  • Knowledge on model deployment and monitoring
  • Strong SQL proficiency one or many (Postgres, Oracle, SQL Server, Teradata)

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

  • Knowledge on fraud detection
  • Knowledge on Reinforcement Learning

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.

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.

Scheduled Weekly Hours


Diversity and Inclusion

We’re proud to be an equal opportunity employer. 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.

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