Drimva

Anduril

Strategic Real Estate, Growth Strategy Associate

$120K–$175K

Costa Mesa, California, United States · Full-time · Posted Oct 19, 2026

Experience
2–4 years in data science, analytics, consulting, FP&A, capacity planning, or real estate.
Education
Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Economics, Engineering, or Finance; a non-quantitative bachelor’s degree is acceptable with demonstrated technical ability.
Visa sponsorship
U.S. citizenship required.

About the job

Forecasts Anduril’s real estate space needs and builds data tools and LLM-based workflows to support portfolio and location planning.

What you'll do

  • Build quarterly portfolio models and long-range forecasts from headcount, program, space-demand, and supply plans; reconcile inputs and explain forecast changes.
  • Measure site utilization, model scenarios, and work with Talent and People teams to inform location strategy and site timing.
  • Extend the Palantir Foundry data pipeline with Python and SQL, build LLM-based automation tools, and prepare and present leadership analysis.

What they ask for

  • Bachelor’s degree in a quantitative field, or a non-quantitative bachelor’s degree with demonstrated technical ability.
  • Regular work use of LLMs, including building with an API, agent framework, or automated workflow.
  • Interest in data science shown through work or personal projects; clear communication with non-technical stakeholders.
  • U.S. citizenship; ability to travel up to 10%.

Nice to have

  • Eligibility for security clearance.
  • Experience with Palantir Foundry, Databricks, Snowflake, or dbt; forecasting methods; real estate, workforce planning, or manufacturing; Excel financial models; or Git and code review.

Pay

$120,000 — $175,000 USD base salary

Tools

Palantir Foundry, Python, SQL, LLMs, Databricks, Snowflake, dbt, Git

AI focus

Build LLM-based tools and agents to automate data extraction, reconciliation, analysis, and slide production, and support team adoption.

Model-written summary · the original posting is authoritative

First seen Oct 20, 2026 · Last verified Nov 6, 2026 (UTC)