Senior Data Scientist, Manufacturing Analytics

True Anomaly; Denver, Long Beach (CO, CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equity

Health/Dental/Vision

Job summary

True Anomaly seeks a Data Scientist (II-Senior) for Manufacturing Analytics in Denver, CO or Long Beach, CA. You will build predictive models from manufacturing telemetry, deploy real-time anomaly detection, and perform root-cause analyses to reduce rework and improve schedules.

You’ll develop integrated diagnostic tools that fuse logs, telemetry, and historical data to accelerate engineering investigations and keep missions on track. Join a mission-driven team advancing space superiority.

Qualifications

• 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 programming

SQL querying

Education

Bachelor’s degree in data science or related field

Tools

Python

SQL

scikit-learn

pandas

matplotlib

Job description

True Anomaly seeks a Data Scientist (II-Senior) for Manufacturing Analytics in Denver, CO or Long Beach, CA. You will build predictive models from manufacturing telemetry, deploy real-time anomaly detection, and perform root-cause analyses to reduce rework and improve schedules.

You’ll develop integrated diagnostic tools that fuse logs, telemetry, and historical data to accelerate engineering investigations and keep missions on track. Join a mission-driven team advancing space superiority.