Space Data Scientist I: Predictive Analytics & Dashboards

trueanomalyinc; Denver (CO); On-site; USD 70,000 - 100,000; Full time

Job summary

True Anomaly seeks entry-level data scientists to turn spacecraft data into actionable insights across manufacturing and operations. You will build dashboards surfacing production bottlenecks and anomalies, train predictive models to flag failures, and analyze telemetry to identify root causes before integration and during missions.

You'll write SQL queries and Python code, create visualizations, and contribute to decision-making on the factory floor and in mission control.

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: SELECT, JOIN, GROUP BY, aggregation functions.
• 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.
• 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 telemetry to identify patterns.
• Build operational dashboards in Grafana or Plotly Dash showing production status and health metrics.
• Train basic predictive models to flag at-risk components during manufacturing and missions.
• Write SQL queries to extract and join data from manufacturing, test, and telemetry sources.
• Analyze failures and anomalies to identify common modes and quantify impact on schedule.
• Create data visualizations that communicate findings to engineers and program managers.
• Implement SPC charts to detect out-of-spec conditions in manufacturing and telemetry.
• Monitor on-orbit telemetry for anomalies: battery, thermal, attitude control, link quality.
• Document analysis methodology in Jupyter notebooks to enable reproducibility.

Skills

Python

SQL

Data visualization

Education

Bachelor's or Master's degree in data science / statistics / related field

Tools

pandas

numpy

matplotlib

seaborn

Plotly

Job description

True Anomaly seeks entry-level data scientists to turn spacecraft data into actionable insights across manufacturing and operations. You will build dashboards surfacing production bottlenecks and anomalies, train predictive models to flag failures, and analyze telemetry to identify root causes before integration and during missions.

You'll write SQL queries and Python code, create visualizations, and contribute to decision-making on the factory floor and in mission control.