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About the Role

True Anomaly delivers decisive capabilities for space superiority by building autonomous spacecraft, advanced payloads, mission software, and space-based interceptors. This role is crucial in developing technology that secures the space environment and counters threats.

Responsibilities

Build predictive models for component failure prediction using manufacturing telemetry, test data, and historical reliability records to catch issues before they impact missions.
Design and deploy anomaly detection systems for launch operations, environmental testing, and spacecraft integration that flag deviations in real-time without overwhelming operators with false alarms.
Perform root cause analysis on schedule delays, test failures, and quality escapes using causal inference, data mining, and statistical modeling to identify actionable improvement opportunities.
Develop data-driven diagnostic systems that fuse manufacturing history, supplier data, test logs, and failure reports to narrow root causes and accelerate troubleshooting.
Build and maintain operational dashboards providing real-time situational awareness across production, test, and integration workflows.
Mine historical test and production data to identify patterns, cluster failure modes, prioritize process improvements, and quantify risk for upcoming builds.
Implement statistical process control and quality monitoring systems that detect out-of-spec conditions before they propagate downstream.
Write clear, maintainable Python/SQL code and Jupyter notebooks that document analysis methodology and enable reproducibility across the engineering team.
Learn and grow alongside operations, manufacturing, and reliability engineers, translating business questions into data solutions that drive decisions.

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.
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.
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.

Skills

Python
SQL
pandas
scikit-learn
matplotlib
Hypothesis testing
Regression
Time-series analysis
Survival analysis
Experimental design
Data cleaning
Feature engineering
Model training
Model validation
Model deployment
Data visualization
Reliability engineering
Survival analysis (Weibull, Cox models)
Reliability growth modeling
Failure mode analysis
Manufacturing analytics
Statistical process control (SPC)
Multivariate control charts
Quality prediction from process data
Anomaly detection techniques
Isolation Forest
LSTM autoencoders
Change point detection
Multivariate process monitoring
Operations analytics
Supply chain forecasting
Industrial IoT telemetry analysis
Causal inference methods
Directed acyclic graphs (DAGs)
Counterfactual reasoning
Confounding variable analysis
Imbalanced classification
SMOTE
Cost-sensitive learning
Active learning for rare event prediction
Time-series forecasting
ARIMA
Prophet
Exponential smoothing
Operations research
Queuing theory
Optimization
Discrete event simulation
Text mining
NLP

Location

Denver
Long Beach

Work Type

Onsite
Fully onsite

Experience Level

2-4 years of experience

Education Level

Bachelor's degree
Master's degree

Salary/Compensations

$125,000 - $270,000

Benefits

Equity
Health
Dental
Vision
HRA/HSA options
PTO
Paid holidays
401K
Parental Leave

About the Company

True Anomaly delivers decisive capabilities for space superiority.
We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
Be the offset. We create asymmetric advantages with creativity and ingenuity.
What would it take? We challenge assumptions to deliver ambitious results.
It’s the people. Our team is our competitive advantage and we are better together.

Equal Opportunity

True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws.
If you have a disability or additional need that requires accommodation, please do not hesitate to let us.