Senior Space Manufacturing Data Scientist - Equity

True Anomaly; Long Beach (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare (Employer-Sponsored)

Time off

Equity

401k and Roth 401k

Learning & Development Opportunities

Job summary

True Anomaly seeks a data scientist to build predictive models from manufacturing telemetry, test data, and reliability records. You will develop anomaly detection systems for launch operations and integrate diagnostic tools across production and testing to reduce failures and schedule slips.

The role requires strong Python/SQL skills, experience with time-series and survival analysis, and the ability to translate complex analyses into actionable recommendations for cross-functional teams at our

Qualifications

• Bachelor’s degree in data science, statistics, industrial engineering, applied mathematics, operations research, or similar quantitative discipline; 2–4 years of experience.
• Strong Python, SQL, and data visualization skills.
• Experience building end-to-end data pipelines: cleaning, feature engineering, model training, validation, deployment.

Responsibilities

• Build predictive models to catch component failures using manufacturing telemetry and test data.
• Design and deploy real-time anomaly detection for testing and operations.
• Perform data-driven root cause analysis to distinguish signal from noise.
• Develop integrated diagnostic tools fusing logs, telemetry, and historical data.
• Create dashboards for real-time situational awareness across production, test, and integration workflows.
• Communicate findings to non-technical stakeholders with clear visuals.

Skills

Python

SQL

Pandas

Scikit-learn

Matplotlib

Time-series analysis

Statistical modeling

Data visualization

Communication

Education

Bachelor's degree in data science, statistics, industrial engineering, or related quantitative field

Master’s degree in a similar field (optional with 0+ experience)

Tools

Python

Scikit-learn

Matplotlib

SQL

Jupyter

Job description

True Anomaly seeks a data scientist to build predictive models from manufacturing telemetry, test data, and reliability records. You will develop anomaly detection systems for launch operations and integrate diagnostic tools across production and testing to reduce failures and schedule slips.

The role requires strong Python/SQL skills, experience with time-series and survival analysis, and the ability to translate complex analyses into actionable recommendations for cross-functional teams at our