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Verizon Communications

Runs wireless and fiber networks across the US

Forward Deployed Engineer

Data ScienceConfirmed live in the last 24 hours
Full-time$101k - $194k /yr

About the Job

Requirements

  • A bachelor's degree or four or more years of work experience.
  • Four or more years of relevant experience, demonstrated through work and/or military experience or specialized training.
  • Intermediate proficiency in Python or R, SQL, and a moderate history or portfolio of accomplished projects.
  • Intermediate proficiency in Alteryx or Knime.
  • Experience building or integrating agentic AI workflows, such as LLM-based agents, tool-use/function-calling pipelines, or frameworks such as LangChain, AutoGen, or Claude/GPT-based agents, to automate data ingestion, scenario generation, or report synthesis for capital planning and simulation workflows.

Responsibilities

  • Work with stakeholders to develop AI, agent-based modeling, and algorithmic modeling for network elements and processes supporting the three-year capital budget.
  • Plan and execute the design of a new capacity model and obtain general agreement from Network Capital Strategy and the business team.
  • Operate the model at multiple checkpoints during the year, create a hardened deployment and documentation, and plan future automation of the process.
  • Plan future model upgrades using alternative algorithms, AI science, or additional input features.
  • Leverage and pilot AI tools, including agentic workflows, LLM-assisted coding, and automated documentation and reporting, to accelerate model development, scenario testing, and stakeholder deliverables.
  • Adapt to and navigate roadblocks in the software development process, resolve issues independently, and escalate roadblocks when appropriate.
  • Present the nature of created systems occasionally to leaders and engineers.
  • Pursue patents when appropriate to protect invented Verizon intellectual property.

Desired Qualifications

  • A degree in business intelligence and analytics, data science, engineering, computer science, mathematics, or a similar field.
  • Experience in time-series analysis or forecasting.
  • Experience in engineering investigations, performance optimizations, or network capacity management.
  • Prior experience navigating engineering budget cycles, such as funding requests for cell-site builds in a regional role.
  • Experience gathering requirements and translating them into specific software practices.
  • Experience with data engineering.
  • Knowledge of cloud computing platforms such as Google Cloud Platform or Amazon Web Services.
  • Experience with high-performance containerized GPU environments.
  • A solid foundation in mathematical optimization, prescriptive modeling, and network capacity management.
  • Experience designing, architecting, and deploying full-stack web applications and APIs using frameworks such as FastAPI, custom GUIs such as Flet or Marimo, and high-performance BI dashboards to expose optimization models, streamline data ingestion, and accelerate scenario planning for non-technical leadership.

About the Company

Verizon Communications

Runs wireless and fiber networks across the US

Verizon runs one of the largest wireless and fiber networks in the United States, selling mobile and home internet service to consumers, businesses and government agencies. Its consumer arm sells phone plans along with Fios and Frontier fiber internet and 5G home internet, which beams broadband to homes over its cellular network. Verizon Business sells mobile, networking and security services to companies of every size, including nearly all of the Fortune 500. Most revenue comes from monthly service plans, with more from device sales and installment payments. Verizon was incorporated in 1983 as Bell Atlantic, took the Verizon name in 2000, and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York, NY
Founded
1983

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