Orbital Data Science Engineer – Trajectory & Anomaly ML

Digantara; Denver (CO); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Equity package

Job summary

Digantara US in Denver seeks a Data Science Engineer to develop ML components and integration infrastructure for SDA analytics pipelines. You will build trajectory-classification and anomaly-detection models using orbit-determination outputs and maintain benchmarking frameworks under sparse, gapped data.

Collaborate with astrodynamics and embedded-systems staff to ensure models reflect genuine dynamical structure, meet onboard constraints, and provide calibrated confidence metrics for operators.

Qualifications

• 4+ years of applied ML experience in a technical field.
• Strong Python and scientific stack proficiency.
• Experience with time-series or state-estimation data.
• Ability to work with onboard/resource-constrained deployments.

Responsibilities

• Develop AI/ML models for trajectory classification and anomaly detection.
• Integrate end-to-end analytic pipelines for observation processing and classification.
• Build benchmarking and evaluation frameworks for model performance.
• Collaborate with embedded-systems staff on constraints and deployment.
• Produce calibrated confidence metrics for operator use.

Skills

Python

ML/AI

Time-series data

Scientific stack

Education

BS/MS in Computer Science or related field

Tools

PyTorch

NumPy

SciPy

pandas

Job description

Digantara US in Denver seeks a Data Science Engineer to develop ML components and integration infrastructure for SDA analytics pipelines. You will build trajectory-classification and anomaly-detection models using orbit-determination outputs and maintain benchmarking frameworks under sparse, gapped data.

Collaborate with astrodynamics and embedded-systems staff to ensure models reflect genuine dynamical structure, meet onboard constraints, and provide calibrated confidence metrics for operators.