Principal Data Scientist

Verizon Verizon · Telecom · Alpharetta, GA +2

Principal Data Scientist role focused on architecting AI-driven decision systems using LLMs and RAG for supply chain optimization and strategic insights. Leverages advanced modeling and analytics to solve complex business operations problems and influence executive strategy.

What you'd actually do

  1. Architect AI-Driven Decision Systems: Design and implement RAG (Retrieval-Augmented Generation) systems that ground LLMs in proprietary supply chain data to provide accurate, real-time strategic recommendations.
  2. Optimize Complex Operations: Use Gurobi to solve high-dimensional supply chain constraints, moving beyond simple heuristics to find the mathematically "best" path for our global operations.
  3. Accelerate with AI-Native Workflows: Utilize advanced coding assistants like Claude Code within VS Code to automate boilerplate and focus your energy on strategic problem-solving.
  4. Drive Actionable Insights & Influencing: Lead end-to-end analytical projects, moving beyond "what happened" to prescribing solutions and proving the causal ROI of specific business interventions
  5. Master Executive Storytelling: Use AI to help synthesize complex model outputs into high-impact narratives and "What-If" simulators that speak the language of the C-suite.

Skills

Required

  • Bachelor’s degree or four or more years of work experience
  • Six or more years of relevant experience
  • Experience as a data scientist, analyst, or statistical modeler
  • Experience using LLMs or coding agents (e.g., Claude Code, GitHub Copilot) to enhance productivity and code quality
  • Experience with Google BigQuery, Teradata, Python/R, SQL, Alteryx, and visualization tools like Tableau

Nice to have

  • 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 distributive computing tools, like Hive or Spark
  • Experience with SiteCatalyst/Clickstream
  • Experience with programming languages, like Java or Scala

What the JD emphasized

  • deliver the "Deep Intelligence" that shapes our long-term business strategy
  • crafting the Business Case for our most significant investments
  • synthesize vast amounts of internal data
  • solve our most difficult optimization puzzles
  • impactful business questions
  • making decisions that directly impact Verizon's bottom line
  • ground LLMs in proprietary supply chain data
  • solve high-dimensional supply chain constraints
  • focus your energy on strategic problem-solving
  • proving the causal ROI of specific business interventions
  • high-impact narratives
  • strategically-aligned autonomous ecosystem
  • scalable and can be governed
  • technical depth to build a complex model from scratch
  • business acumen to know when an explainable model is the more powerful choice
  • influencing a "room full of skeptics" with data-backed conviction

Other signals

  • LLMs
  • RAG
  • optimization
  • supply chain
  • strategic insights