Principal Data Scientist

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 #VTeamLife.

As a Principal Data Scientist in our Strategic Analytics & Modeling group, you are the intellectual engine translating complex data into executive-level strategy. Your mission is to deliver the "Deep Intelligence" that shapes our long-term business strategy. You will lead the development of advanced statistical models and rigorous analytical frameworks to solve unique business operations problems.

You aren't just producing numbers; you are crafting the Business Case for our most significant investments. You will be a translator of complexity, leveraging LLMs and RAG architectures to synthesize vast amounts of internal data, turning the "noise" of global supply chain volatility, spend patterns, and asset utilization into clear, actionable insights for senior leadership. You will work in a high-maturity environment, leveraging Domino Data Lab and Gurobi to solve our most difficult optimization puzzles.

You will work with key stakeholders to generate hypotheses and create analytic models that answer our most impactful business questions. You are responsible for leading the design of data science products while thinking strategically about how these models meet the long-term goals of the business. You will leverage our full tech stack to develop resolutions to complex problems that require creativity, making decisions that directly impact Verizon's bottom line.

This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.

You are a "Strategic Scientist" who sees AI as a force multiplier. You have the technical depth to build a complex model from scratch, but the business acumen to know when an explainable model is the more powerful choice for a stakeholder. You thrive on the challenge of influencing a "room full of skeptics" with data-backed conviction.

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 as a data scientist, analyst, or statistical modeler.

• Experience using LLMs or coding agents (e.g., Claude Code, Git Hub Copilot) to enhance productivity and code quality.

• Experience with Google Big Query, Teradata, Python/R, SQL, Alteryx, 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.

• Proven track record of presenting complex technical findings to non-technical senior executives.

• Experience with Data Warehousing or Teradata SQL.

• Knowledge of distributed computing tools, like Hive or Spark.

• Experience with Site Catalyst/Clickstream.

• Experience with programming languages, like Java 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.

In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

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