Software Engineer I, Data Science (New Grad)
Core
Entry-level data scientist converting spacecraft manufacturing and on-orbit telemetry into actionable insights, dashboards, and predictive models to prevent failures and monitor health.
Role type
Junior IC data scientist (space operations)
Builds
Operational dashboards, predictive models for component risk and spacecraft health, statistical process control charts
Domain
Aerospace / Space Systems / Manufacturing Operations
Deliverable
dashboards & analysis
Required skills
Python (pandas, numpy, matplotlib, seaborn), SQL, exploratory data analysis, statistical modeling (regression, hypothesis testing), data visualization, statistical process control
Preferred skills
scikit-learn, time-series analysis, reliability engineering concepts (MTBF, failure rates), version control (git), data wrangling, experimental design
Technologies
Grafana, Plotly Dash, Jupyter, matplotlib, seaborn, scikit-learn
Responsibilities
Perform exploratory data analysis on manufacturing telemetry and mission data to identify patterns and anomalies; Build operational dashboards showing real-time production status and spacecraft health metrics; Train basic predictive models to flag at-risk components and predict health degradation; Write SQL queries to extract and aggregate data from manufacturing and mission databases; Analyze test failures and on-orbit anomalies to identify common failure modes; Create data visualizations to communicate findings to engineers and operators; Implement statistical process control charts to detect out-of-spec conditions; Monitor on-orbit telemetry streams for anomalies like battery voltage and thermal behavior; Document analysis methodology in Jupyter notebooks.
Seniority
Entry-level (New Grad)
