Space Systems Data Scientist I – 3-Month Contract

Engg; Denver, Long Beach (CO, CA); On-site; USD 80,000 - 110,000; Full time

Job summary

Engg in Denver is seeking an entry-level Data Scientist to turn spacecraft data into actionable insights across manufacturing and operations. You will write SQL, build predictive models in Python, and create dashboards that surface bottlenecks and anomalies on the manufacturing floor and in mission control.

You will analyze test failures, monitor on-orbit telemetry, and learn reliability engineering concepts while contributing to data-driven decisions during pre- and post-launch phases.

Qualifications

• Bachelor’s or Master’s degree in data science or related quantitative field.
• Proficiency in Python for data analysis (pandas, numpy, matplotlib, seaborn).
• SQL querying skills (SELECT, JOIN, GROUP BY, aggregations).
• Statistics coursework including hypothesis testing and regression.
• Ability to create clear visualizations for technical and non-technical audiences.
• Curiosity about failures and predictive data.

Responsibilities

• Perform exploratory data analysis on manufacturing telemetry, test logs, mission data, and on-orbit spacecraft health telemetry to identify patterns and surface anomalies.
• Build operational dashboards in Grafana or Plotly Dash showing real-time production status, spacecraft health metrics, mission performance, and anomaly alerts.
• Train basic predictive models (logistic regression, random forests) to flag at-risk components during manufacturing and predict spacecraft health degradation during missions.
• Write SQL queries to extract, join, and aggregate data from manufacturing databases, test systems, mission telemetry streams, and spacecraft health archives.
• Analyze test failures and on-orbit anomalies to identify common failure modes, cluster similar issues, and quantify impact on schedule and mission success.
• Create data visualizations (matplotlib, seaborn, Plotly) that communicate findings to engineers, manufacturing leads, mission operators, and program managers.
• Implement statistical process control charts to detect out-of-spec conditions in manufacturing processes and spacecraft telemetry before they cascade.
• Monitor on-orbit telemetry streams for anomalies: battery voltage trends, thermal behavior, attitude control health, communications link quality.
• Document analysis methodology in Jupyter notebooks enabling reproducibility and knowledge transfer across manufacturing and operations teams.
• Learn reliability engineering and mission operations concepts: failure modes, burn-in testing, on-orbit commissioning, spacecraft health monitoring, and anomaly response procedures

Skills

Python

SQL

Data Visualization

Statistics

Curiosity

Debugging mindset

Time-series analysis

Git

Industrial Eng

Education

Bachelor’s/Master’s in data science

Tools

Grafana

Tableau

Plotly Dash

scikit-learn

Job description

Engg in Denver is seeking an entry-level Data Scientist to turn spacecraft data into actionable insights across manufacturing and operations. You will write SQL, build predictive models in Python, and create dashboards that surface bottlenecks and anomalies on the manufacturing floor and in mission control.

You will analyze test failures, monitor on-orbit telemetry, and learn reliability engineering concepts while contributing to data-driven decisions during pre- and post-launch phases.