Space Manufacturing Data Scientist

Menlo Ventures; Laguna Beach (CA); On-site; USD 125,000 - 270,000; Full time

Job summary

True Anomaly seeks data scientists to build predictive models that catch component failures before they impact missions. You will analyze manufacturing telemetry and deploy real-time anomaly detection for testing and operations to flag deviations operators would miss.

You will mine historical production data, perform data-driven root cause analyses, and develop integrated diagnostic tools that fuse logs, telemetry, and historical data to narrow failure causes and accelerate investigations that

Qualifications

• Bachelor's or Master's in a quantitative field and 2–4 years of experience, or a Master’s with no experience required.
• Strong Python and SQL for data manipulation, analysis, and visualization.
• Solid foundations in statistics, survival/time-series analysis, and experimental design.
• Experience building end-to-end data pipelines: cleaning, feature engineering, training, validation, deployment.

Responsibilities

• Build predictive models for component failure using telemetry and historical records.
• Design and deploy anomaly detection systems for launch operations and testing.
• Perform root cause analysis on delays, failures, and quality escapes.
• Develop data-driven diagnostic systems fusing history, supplier data, and logs.
• Build and maintain real-time dashboards for production, test, and integration workflows.
• Mine historical data to identify patterns and quantify risk for upcoming builds.
• Implement SPC and quality monitoring to detect out-of-spec conditions.
• Write clear Python/SQL code and Jupyter notebooks documenting methodology.
• Learn and grow with operations and reliability engineers to drive decisions.

Skills

Python

SQL

Statistics

Data pipelines

Communication

Root cause analysis

Causal inference

NLP/log analysis

Education

Bachelor's or Master's in a quantitative field

Tools

Pandas

Scikit-learn

Matplotlib

Jupyter notebooks

Job description

True Anomaly seeks data scientists to build predictive models that catch component failures before they impact missions. You will analyze manufacturing telemetry and deploy real-time anomaly detection for testing and operations to flag deviations operators would miss.

You will mine historical production data, perform data-driven root cause analyses, and develop integrated diagnostic tools that fuse logs, telemetry, and historical data to narrow failure causes and accelerate investigations that