The opportunity timeline

• Overview

  Lockheed Martin is hiring a Data Scientist in Port St. Lucie, FL.

• Role description

  Hard problems in NumPy don't intimidate you; they're the reason you open your laptop, which makes you our kind of Data Scientist. The technology charter, the $83,000 - $116,000, the 4-year ask — all of it points to a Lockheed Martin role built for owners, not order-takers.

  Key Responsibilities

  • Catch the NumPy race conditions that only surface under Port St. Lucie peak traffic
  • Build the solutions-focused Model Deployment feature that wins back the FL accounts Lockheed Martin lost
  • Support migration of on-premise services to cloud-native architecture
  • Keep the technology Conflict Resolution service humming through Port St. Lucie's holiday traffic surge
  • Translate technology compliance rules into Model Deployment guardrails baked into the build

  What You'll Bring

  • The grit to debug at 4pm on a Friday without complaint
  • Working knowledge of Model Deployment alongside transferable NumPy chops
  • Hands-on familiarity with Model Deployment, sharpened by Conflict Resolution side projects
  • Ability to learn new technology systems quickly and apply them effectively
  • Strong multitasking ability without sacrificing quality
  • A communicator who can disagree without making it personal

  Lockheed Martin is a fast-growing technology company in Port St. Lucie, FL, where R and Conflict Resolution drive everything we do. Our Port St. Lucie office runs on mutual respect, low ego, and a genuine willingness to help.

  Come for $83,000 - $116,000, stay for the mentorship, the benefits, and the rare flexibility that makes Lockheed Martin a delightfully-weird place to grow.

  This minute, the Data Scientist chair sits empty and the search is on.

  The fastest way to learn more about this mid-level role is to apply and ask us directly.

• Required skills

  • Time Series Analysis
  • Model Deployment
  • NumPy
  • R
  • Prompt Engineering
  • Professionalism
  • Conflict Resolution

• Benefits & perks

  • Free laptop and tech setup
  • LinkedIn Learning access
  • Employer pension contributions
  • Educational Assistance
  • Employee discount program
  • International assignment opportunities
  • Global emergency assistance
  • Referral bonus program
  • Compressed work week option
  • Retention bonuses

• Apply before 2026-09-03

  Submit your application for this Hybrid technology position.