Senior Data Scientist (Operations & Reliability)

• True Anomaly, a pioneering space security company, as a Data Scientist focused on Operations & Reliability.
• You will also develop integrated diagnostic tools, mine historical production data, and implement statistical process control systems.

Responsibilities

• In this role, you will build predictive models to catch component failures before they impact missions, design real-time anomaly detection systems, and perform data-driven root cause analysis.
• Construire des modèles prédictifs pour la prédiction des pannes des composants en utilisant la télémétrie de fabrication, les données d'essai et les dossiers de fiabilité historiques.
• Concevoir et déployer des systèmes de détection d'anomalies pour les opérations de lancement, les tests environnementaux et l'intégration des engins spatiaux.
• Effectuer une analyse des causes profondes des retards de calendrier, des échecs de test et des échappements de qualité en utilisant l'inférence causale, l'exploration de données et la modélisation statistique.
• Ability to communicate technical findings to non-technical stakeholders through clear visualizations and actionable recommendations
• Experience building end-to-end data pipelines: data cleaning, feature engineering, model training, validation, and deployment
• Passion for spaceflight and building reliable systems that perform in high-stakes environments
• Strong statistical fundamentals: hypothesis testing, regression, time-series analysis, survival analysis, and experimental design
• Proficient in Python (pandas, scikit-learn, matplotlib) and SQL for data manipulation, analysis, and visualization
• Exposure to anomaly detection techniques: Isolation Forest, LSTM autoencoders, change point detection, multivariate process monitoring
• Familiarity with manufacturing analytics: statistical process control (SPC), multivariate control charts, quality prediction from process data

Requirements

• Bachelor's degree in data science, statistics, industrial engineering, applied mathematics, operations research, or a similar quantitative discipline, plus 2-4 years of experience; or a Master's degree in one of these fields with no experience required
• Eagerness to learn manufacturing, operations, and reliability engineering domains where data science drives real operational improvements
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State
• Familiarity with time-series forecasting: ARIMA, Prophet, exponential smoothing, handling regime changes and structural breaks
• Internship, research, or project experience in operations analytics, supply chain forecasting, or industrial IoT telemetry analysis
• Understanding of causal inference methods: directed acyclic graphs (DAGs), counterfactual reasoning, confounding variable analysis

Preferred

• Experience with text mining and NLP for log analysis, failure report clustering, or automated fault diagnosis
• Experience with reliability engineering: survival analysis (Weibull, Cox models), reliability growth modeling, failure mode analysis
• Experience with imbalanced classification: SMOTE, cost-sensitive learning, active learning for rare event prediction
• Coursework or project work in operations research, queuing theory, optimization, or discrete event simulation

Pay

USD 125,000 - 270,000

Benefits

• This position offers a comprehensive benefits package, including 100% employer-sponsored healthcare, generous time off, equity options, 401k and Roth 401k options, and learning and development opportunities.