🛠 Tech Stack

💼 About This Role

You'll own statistical methodology for the Mission Engineering team, designing experimental constructs to extract meaningful signals from large-scale simulation campaigns. You'll build scalable analytical pipelines that deliver decision-quality conclusions. This is a foundational hire with freedom to set standards from day one.

🎯 What You'll Do

• Design rigorous experimental constructs for large-scale simulation campaigns.
• Apply advanced statistical methods to simulation output.
• Build and own scalable Python-based data pipelines for large datasets.
• Develop ML and statistical surrogate models to accelerate analysis.

📋 Requirements

• Bachelor's degree in Statistics, Data Science, or related quantitative field.
• 7+ years applying advanced statistical and data science methods.
• Expertise in experimental design, Bayesian methods, uncertainty quantification, surrogate modeling.
• Proficiency in Python (Pandas, NumPy, SciPy, Scikit-Learn, PyTorch) and scalable pipelines.

✨ Nice to Have

• Master's or PhD in Statistics or related field.
• Experience with military simulations like AFSIM or ESAMS.
• Familiarity with sensor performance analysis (radar, EO/IR).

🎁 Benefits & Perks

• 🏖️ Unlimited PTO mentioned implicitly? Not in text. Omit.
• 🏥 Health insurance typical but not mentioned. Omit.
• 📈 401(k) typical but not mentioned. Omit.
• 🚀 Cutting-edge defense tech listed? Not a perk.
• 🏢 Flexible work environment? Not mentioned.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min