Principal Data Scientist, Network

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...

The Artificial Intelligence & Data (AI&D) Organization is an exciting center of excellence supporting all of Verizon. Our team is a catalyst to Verizon's future in creating networks that move the world forward through the power of Artificial Intelligence & Data.

You will be a strategic thinker joining a high-profile, high-visibility team that powers data science and strategic thinking for Verizon. You will be part of a team that builds tools, analyses, and insights that informs, quantifies, and enables the visualization of data to drive business decisions for all of Verizon's Networks.

With your analytical, big data and AI/ML expertise, you will deliver business value through business intelligence and data science by driving insights to actions. One way you will accomplish this is by developing analytical views of data utilizing various BI and data science such as Tableau, Qlik, Looker, Python and other analytical toolsets.

You will also connect various databases to stage data. The business insights and recommendations you provide will help to improve Verizon's performance across multiple key business metrics.

• Analyzing large-scale and complex datasets (including 3rd party benchmarking data) to identify how network metrics correlate with each other and correlate to customer experience.
• Analyzing strategic implications of major competitive initiatives through automated data collection of competitive events and product launches using publicly available data sources and third-party data.
• Leading the creation of new automated competitive data pipelines including automated insights that drive improved data-driven decisions through studying best-in-class industry practices and collaboration with Verizon GenAI practice.
• Engaging directly with data providers to ensure the data is accurately collected, measured and reported.
• Performing ad-hoc analysis and developing reproducible analytical approaches to meet business requirements.
• Performing exploratory and targeted data analyses using descriptive statistics and other methods.
• Performing geospatial analyses and creating geospatial visualizations to respond to business requests.
• Preparing executive level presentations to clearly articulate results of complex mathematical analysis through strategic storytelling.
• Designing, developing, implementing, and overseeing high-end analytical/technology processes and solutions with a focus on leveraging advanced machine learning and artificial intelligence methods.
• Automating and using the latest technology, such as NLP (natural language processing), GenAI, to analyze market data about our competitors to keep a pulse on impactful new products and network design, as well as integrate major macroeconomic, social, and political indicators into strategic planning.
• Collaborating across multiple teams within the business including Network, Verizon Consumer Group, Verizon Business, data engineering and ML engineering.

What we're looking for...

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 four or more years of work experience
• Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience or specialized training
• Experience applying statistical ideas and methods to data sets to answer business problems
• Experience with developing insights, presenting, and influencing strategic decisions using data
• Experience in programming languages such as SQL and Python and visualization tools like Tableau

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

• Degree in business intelligence and analytics, computer science, or mathematics
• Master's degree
• Knowledge of basic wireless network and performance KPIs.
• Self-starter who can quickly learn new products from scratch and identify their key differentiators
• Experience with Data Warehousing or Teradata SQL
• Knowledge of distributive computing tools, like Hive or Spark
• Experience with SiteCatalyst/Clickstream
• Experience with programming languages, like Java, Python, or Scala

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 a minimum eight assigned office days per month that will be set by your manager.

Scheduled Weekly Hours

40

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.