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CHAOS Industries

Data Scientist, Mission Engineering

CHAOS Industries · El Segundo, California, United States

Posted about 2 months ago · $140K-220K

or apply directly on CHAOS Industries's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
CHAOS Industries's roles stay open a median of 66 days
Reposted
No
Salary listed
Yes
93% of CHAOS Industries's roles list one
Ghost-job risk at CHAOS Industries
high
123 stale, 1 reposted of 146 open
Hiring momentum
237 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from CHAOS Industries's own greenhouse board since 2026-08-03. Full hiring picture for CHAOS Industries.

About this role

As a Data Scientist in the Mission Engineering team at CHAOS Industries, you will be responsible for developing and applying advanced statistical methodologies to enhance decision-making processes in defense simulations. Your role involves designing experimental constructs, building analytical pipelines in Python, and mentoring peers while ensuring rigorous data management and reproducibility. You will also communicate complex quantitative results to both technical and non-technical audiences, contributing to projects that support various defense and intelligence programs.

Our read on this posting4.2out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of CHAOS Industries as an employer.

What you need

  • Bachelor's degree or higher in Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field, or equivalent expertise in modern statistical methodology
  • 7+ years applying advanced statistical and data science methods, ideally in defense, intelligence, or advanced technology programs
  • Deep working expertise in experimental design, regression and Bayesian methods, uncertainty quantification, and surrogate modeling
  • Strong proficiency in Python, including scientific computing and ML libraries
  • Experience building scalable analytical pipelines for large datasets
  • Exceptional data visualization skills

Nice to have

  • Master's or PhD in Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field
  • Direct experience applying statistical methods to military simulations
  • Expertise in designing and analyzing large-scale Monte Carlo and DOE-driven simulation campaigns
  • Experience in developing surrogate models or machine learning models for engineering applications
  • Familiarity with sensor performance analysis or weapon effectiveness analysis

What you get

  • Medical, dental, and vision benefits 100% paid for by the company
  • 401k with 50% company match up to 6% of pay
  • FSA, HSA, life insurance, and more
  • Free daily lunch
  • No meeting Fridays
  • Unlimited PTO

Worth weighing

  • The role requires eligibility for a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance, which may be a barrier for some candidates.
  • The salary range provided is an estimate based on base salary only and may vary based on various factors.
  • The company is relatively new, founded in 2022, which may imply a fast-paced and evolving work environment.

Summarised from CHAOS Industries's posting. Read the full original.

Listed by CHAOS Industries on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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