Senior Data Scientist - Space Ops & Reliability

True Anomaly; Denver, Long Beach (CO, CA); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Equity

Health benefits

PTO & holidays

401K

Parental Leave

Job summary

True Anomaly in Denver is seeking a Data Scientist (II-Senior) to build predictive models that catch component failures before they impact missions. You will analyze manufacturing telemetry, deploy real-time anomaly detection for testing and operations, and perform data-driven root-cause analysis to distinguish signal from noise.

Join a space-focused team to mine production data, identify bottlenecks, optimize test durations, and reduce rework while contributing to reliability and schedule

Qualifications

• Degree in data science, statistics, industrial engineering, applied mathematics, or similar, with 2–4 years of experience; or a Master's 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

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

Skills

Python

SQL

Pandas

scikit-learn

Jupyter

Education

Bachelor's degree in data science or related field

Job description

True Anomaly in Denver is seeking a Data Scientist (II-Senior) to build predictive models that catch component failures before they impact missions. You will analyze manufacturing telemetry, deploy real-time anomaly detection for testing and operations, and perform data-driven root-cause analysis to distinguish signal from noise.

Join a space-focused team to mine production data, identify bottlenecks, optimize test durations, and reduce rework while contributing to reliability and schedule