New Grad Data Science Engineer I for Space Systems

True Anomaly, Inc.; Denver, Northern (CO, KY); Hybrid; USD 75,000 - 80,000; Full time

Job summary

True Anomaly, Inc. is seeking an entry-level Software Engineer I, Data Science to turn spacecraft data into actionable insights. You will build dashboards surfacing production bottlenecks and on-orbit health, analyze telemetry, and train models that flag at-risk components before integration.

This 3-month temporary engagement offers hybrid work near Denver or Colorado Springs, with potential conversion to regular employment based on performance and business need.

Qualifications

• Bachelor's or Master's degree in data science, statistics, industrial engineering, applied mathematics, operations research, or related quantitative field
• Proficiency in Python for data analysis: pandas, numpy, matplotlib, seaborn
• Working knowledge of SQL for querying relational databases
• Coursework in statistics: hypothesis testing, regression, probability distributions, experimental design
• Ability to create clear visualizations that communicate insights to technical and non-technical audiences
• Strong curiosity about how things fail and how data can predict failures before they happen
• Debugging mindset: when the model gives wrong answers or the query returns unexpected results, you dig in to find out why
• Eagerness to learn manufacturing, operations, and reliability engineering domains where data drives real decisions
• U.S. Citizen (required for facility access and government contracts)

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

Debugging mindset

Time-series analysis

Education

Data science/Statistics degree

Tools

Grafana

Plotly Dash

Jupyter

git

scikit-learn

Tableau

Pandas

NumPy

Job description

True Anomaly, Inc. is seeking an entry-level Software Engineer I, Data Science to turn spacecraft data into actionable insights. You will build dashboards surfacing production bottlenecks and on-orbit health, analyze telemetry, and train models that flag at-risk components before integration.

This 3-month temporary engagement offers hybrid work near Denver or Colorado Springs, with potential conversion to regular employment based on performance and business need.