Job Description

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.

What you’ll be doing...

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.

• Carrying out analyses of large datasets: collecting, analysing, cleaning and verifying data.

• Acquiring a deep understanding of the connected vehicles domain, particularly concerning the hardware devices, the signals they generate and how they are processed and stored.

• Applying statistical analyses and machine learning algorithms to company data, and customising them to reach target performance objectives.

• Developing production-ready code following all good practices of test-driven-design and continuous integration / continuous delivery

• Supporting other teams on selected projects with training or ad-hoc analyses.

• Keeping up-to-date with the latest technology trends and contributing to innovation initiatives.

• Conducting research and Proof of Concepts on emerging technologies.

• Providing effort estimations for the individual assignments and constant feedback to the team.

• Working as part of a cross functional agile development team.

What we’re looking for...

You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross functional teams to implement data science driven business solutions.

You'll need to have:

• Master’s degree in Computer Science, Software Engineering or equivalent relevant work experience.

• Good knowledge of SQL and Python.

• Experience analysing large datasets.

• Experience with applied statistics including regression models.

• Experience developing machine learning models.

• Excellent communication skills.

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

• Experience with hardware devices.

• Experience with visual analysis tools.

• Knowledge of Agile software development processes.

Why Verizon?

Verizon is committed to maintaining a Total Rewards package which is competitive, valued by our employees, and differentiates us as an Employer of Choice.

• We are a ‘pay for performance’ company and your contribution is rewarded through competitive salaries, performance-based incentives and an employee Stock Program. We create an opportunity for us all to share in the success of Verizon and the value we help to create through this broad-based discretionary equity award program.

• Your benefits are market competitive and delivered by some of the best providers.

• You are provided with a full spectrum of health and wellbeing resources, including a first in-class Employee Assistance Program, to empower you to make positive health decisions.

• We offer generous paid time off benefits to help you manage your work life balance and opportunities for flexible working arrangements*.

• Verizon provides training and development for all levels, to help you enhance your skills and develop your career, from funding towards education assistance, award-winning training, online development tools and access to industry research.

• You will be able to take part in volunteering opportunities as part of our environmental, community and sustainability commitment.

Your benefits package will vary depending on the country in which you work.

*subject to business approval

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

40

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.