Data Scientist Intern

About iMETALX

iMETALX is pioneering innovations in space accessibility and sustainability. We develop advanced Space Domain Awareness (SDA) and In-Space Servicing, Assembly, and Manufacturing (ISAM) capabilities for government and commercial customers.

Our work spans:

• Spacecraft autonomy
• Computer vision & perception
• Simulation & modeling
• Guidance, navigation & control
• Real-world testing and deployment

We are a small, high-impact team building mission-critical autonomy systems for space operations.

Internship Overview

We are seeking a highly motivated Data Scientist Intern to support the development and data management around simulation and modeling of space missions and associated databases.

You will work directly with engineers across simulation, and GNC teams to:

• Analyze synthetic and real-world datasets
• Develop performance metrics
• Identify modeling gaps
• Build data-driven insights that improve autonomy reliability

This is not a generic analytics role — you will work on real engineering problems at the intersection of aerospace, robotics, and machine learning.

What You’ll Work On

Data Analysis & Modeling

• Analyze large simulation and flight datasets
• Develop statistical models to characterize system behavior
• Identify anomalies and performance bottlenecks
• Evaluate perception model accuracy and robustness

Metric Development

• Define quantitative performance metrics for autonomy systems
• Build dashboards and visualizations to track system performance
• Compare simulated vs real-world performance distributions

Simulation & Autonomy Support

• Support validation of simulation realism
• Assist in Monte Carlo testing campaigns
• Analyze uncertainty propagation in estimation systems
• Evaluate model performance under varied conditions

Experimentation & Insight

• Design controlled experiments
• Perform statistical hypothesis testing
• Quantify confidence bounds and error margins
• Help inform engineering decisions using data

Who You Are

• Undergraduate or graduate student in: Data Science, Applied Mathematics, Computer Science, Aerospace Engineering, Robotics, Physics, Statistics
• Strong programming skills in Python
• Familiar with libraries such as: NumPy, Pandas, Matplotlib / Seaborn, SciPy, scikit-learn
• Comfortable working with structured and unstructured datasets
• Solid understanding of probability, statistics, and regression
• Curious and analytical thinker
• Interested in autonomy, robotics, or space systems

Bonus (Nice to Have)

• Experience with machine learning models
• Familiarity with Kalman filtering or state estimation
• Experience analyzing time-series data
• Exposure to Monte Carlo simulations
• Experience working in research labs or technical teams

What You’ll Gain

• Hands-on experience in autonomy system validation
• Exposure to real-world aerospace data workflows
• Mentorship from engineers building cutting-edge space systems
• Opportunity to contribute to production-grade systems
• Portfolio-worthy technical work