Senior Data Science Engineer

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 #VTeamLife.

We use digital data as the fuel to propel us beyond our competition. As a Senior Data Scientist, you’ll lead projects that develop and perform complex analyses using Big Data technologies. You’ll be constantly on the lookout for new modeling techniques, evolving technologies, and emerging industry trends so that we can stay ahead of the game. Your work will help us meet our customers’ needs and make it even easier for them to do business with us.

• Performing analyses to find actionable insights.

• Developing systems, applications, and visual dashboards.

• Conducting and guiding others through system usage assessments.

• Ensuring data quality and promoting process improvement.

• Handling security threats, and growing the dependability and reliability of our network through tools and software.

With an eye towards improving performance and predictability, you like the science of analytics. Developing resolutions to complex problems, using your sharp judgment to develop methods, techniques, and evaluation criteria allows you to deliver solutions that make a huge impact. You’re able to communicate technical information to non-technical audiences, and you take pride in your ability to share your considerable knowledge with your peers.

You’ll need to have:

• Bachelor’s degree or the equivariant work experience.

• Relevant experience, demonstrated through one or a combination of work and/or military experience, or specialized training.

• Experience as a data scientist, analyst, or statistical modeler.

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

• Degree in business intelligence and analytics, computer science, or mathematics.

• Master’s degree.

• Experience with visualisation tools, like Looker.

• Experience with Data Warehousing or SQL Coding, Google BigQuery.

• Experience with programming languages, like Python and R.

• Experience developing GenAI solutions and agentic systems.

• Experience with LLM fine-tuning techniques.

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 and performance-based incentives. 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 programme.

• 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 Programme, 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.

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.

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.