Qualification

Bachelor's degree in data scienceProficient in Python (pandasStrong statistical fundamentalsEagerness to learn manufacturingExperience with reliability engineeringInternship

Required

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.
Proficient in Python (pandas, scikit-learn, matplotlib) and SQL for data manipulation, analysis, and visualization
Strong statistical fundamentals: hypothesis testing, regression, time-series analysis, survival analysis, and experimental design
Experience building end-to-end data pipelines: data cleaning, feature engineering, model training, validation, and deployment
Ability to communicate technical findings to non-technical stakeholders through clear visualizations and actionable recommendations
Eagerness to learn manufacturing, operations, and reliability engineering domains where data science drives real operational improvements
Passion for spaceflight and building reliable systems that perform in high-stakes environments

Preferred

Experience with reliability engineering: survival analysis (Weibull, Cox models), reliability growth modeling, failure mode analysis
Familiarity with manufacturing analytics: statistical process control (SPC), multivariate control charts, quality prediction from process data
Exposure to anomaly detection techniques: Isolation Forest, LSTM autoencoders, change point detection, multivariate process monitoring
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
Experience with imbalanced classification: SMOTE, cost-sensitive learning, active learning for rare event prediction
Familiarity with time-series forecasting: ARIMA, Prophet, exponential smoothing, handling regime changes and structural breaks
Coursework or project work in operations research, queuing theory, optimization, or discrete event simulation

Data Scientist (II-Senior), Manufacturing Analytics at Trueanomalyinc · LumiJobs

Data Scientist (II-Senior), Manufacturing Analytics

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Trueanomalyinc

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