WHEN YOU JOIN VERIZON

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life.

You will work with terabytes of data at scale and bring reliable and scalable real time insights. You will apply advanced state of the art end to end analysis techniques and algorithms to provide a best in class customer experience.

• Making recommendations based on data with excellent visual representations of stories based on data for making critical business decisions.
• Exploring research in the data science field and utilizing open source research results for the improvement of customer facing products.
• Collaborating with cross functional teams i.e. engineers, managers, stakeholders and identifying opportunities to improve our products and customer experience.
• Developing comprehensive understanding of data and complexity of multiple systems to develop a seamless data pipeline which can visualize data at scale with cent percent accuracy.
• Building Machine / Deep Learning models.
• Working with terradata, hive, spark, tableau, postgres, other big data systems with Verizon grid computing infrastructure.
• Mentoring and developing the team.
• Support the risk assessment process by analyzing data to identify potential risks and control weaknesses. Assist in developing data-driven audit plans and scoping engagements

You will work with terabytes of data at scale and bring reliable and scalable real time insights. You will apply advanced state of the art end to end analysis techniques and algorithms to provide a best in class customer experience.

• Making recommendations based on data with excellent visual representations of stories based on data for making critical business decisions.
• Exploring research in the data science field and utilizing open source research results for the improvement of customer facing products.
• Collaborating with cross functional teams i.e. engineers, managers, stakeholders and identifying opportunities to improve our products and customer experience.
• Developing comprehensive understanding of data and complexity of multiple systems to develop a seamless data pipeline which can visualize data at scale with cent percent accuracy.
• Building Machine / Deep Learning models.
• Working with terradata, hive, spark, tableau, postgres, other big data systems with Verizon grid computing infrastructure.
• Mentoring and developing the team.
• Support the risk assessment process by analyzing data to identify potential risks and control weaknesses. Assist in developing data-driven audit plans and scoping engagements.