Hiring: Data Scientist, Mission Engineering Company: CHAOS Industries Location: El Segundo, CA Job Posted Time: 2026-09-13 10:43:07 Target Skills & Keywords : AI, CDN, Data Pipeline, Linux, MATLAB, Machine Learning, Matplotlib, NumPy, Pandas, PyTorch, Python, SciPy, Seaborn, scikit-learn About the job Experience: •7+ years applying advanced statistical and data science methods, ideally supporting defense, intelligence, or advanced technology programs. Required Skills: •This is a foundational hire. You will have the freedom to move fast and set the standards for how CHAOS does quantitative analysis from day one. •Design rigorous experimental constructs (DOE, space-filling designs, adaptive sampling, sequential experimentation) for large-scale simulation campaigns, getting maximum signal per simulation hour across operationally relevant trade spaces. •Build and own scalable Python-based data pipelines for ingestion, processing, statistical analysis, and visualization of large simulation datasets. •Develop ML and statistical surrogate models that accelerate analysis, enable real-time trade studies, and feed mission planning applications. •Set team standards for data management, reproducibility, and statistical rigor (such as code review, methodology validation, and documentation practices). •Translate operational and engineering questions into well-structured analytical approaches alongside M&S engineers, threat SMEs, and program staff. Push back when the framing is wrong. •Author technical reports and briefing materials with clear, honest data visualizations; present quantitative results to senior technical and non-technical audiences in language they can act on. •Mentor peers and cross-functional teams on experimental design, statistical methodology, and reproducible analysis. Qualifications: •Bachelor's degree or higher in Statistics, Data Science, Mathematics, Artificial Intelligence, a related quantitative field, or equivalent demonstrated expertise in modern statistical methodology. •Deep working expertise in experimental design, regression and Bayesian methods, uncertainty quantification, and surrogate modeling, not just textbook familiarity. •Strong proficiency working in Python, including scientific computing and ML libraries (especially Pandas, Polars, NumPy, SciPy, Scikit-Learn, Statsmodels, PyMC, Matplotlib, Seaborn, CuPy, PyTorch), and exposure to MATLAB or R. •Demonstrated experience building scalable analytical pipelines for large datasets, including comfort with terabyte-scale data and modern dataframe tooling. •Exceptional data visualization skills and the ability to develop briefing-quality technical products. •Strong software development practices: version control, code review, reproducible workflows, and informed use of AI-assisted coding tools. •Track record of working independently, taking ownership of ambiguous problems, and delivering with minimal oversight. •Comfortable working with Linux operating systems and writing scalable scripts/software. •Exceptional written and verbal communication skills, especially in translating quantitative approaches and results for non-technical audiences. •Eligibility to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance. Compensation: •$140,000 - $220,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!