Senior Data Scientist, Space Systems (TS/SCI)

Systems Planning & Analysis; Colorado Springs (CO); On-site; USD 160,000 - 240,000; Full time

Job summary

Systems Planning and Analysis, Inc. (SPA) seeks a Senior Data Scientist specializing in predictive sustainment analytics for space mission systems.

You will apply data analytics, reliability modeling, and machine learning to improve operational availability, identify degradation trends, and support sustainment decision‑making with government‑furnished data. Collaborating with engineering, logistics, and operations teams, you will develop data pipelines, validate models, and communicate findings

Qualifications

• Requires US Citizenship with TS/SCI clearance and ability to obtain SAP clearance.
• Bachelor’s degree in Data Science, Engineering, Applied Mathematics, CS, Analytics, or related field.
• 10+ years of relevant experience in data science or analytics.
• Experience with datasets, metrics, or basic statistical/ML techniques.
• Strong analytical and documentation skills.

Responsibilities

• Develop, refine, and validate predictive analytics models for space mission sustainment.
• Analyze operational data, maintenance records, telemetry, and reliability metrics.
• Support predictive maintenance and reliability assessments.
• Prepare data pipelines, feature engineering, and model QA steps.
• Contribute to lifecycle performance studies and sustainment risk assessments.
• Apply ML techniques to anomaly detection and forecasting where permitted.
• Produce analytical summaries and sustainment metrics for reviews.
• Maintain configuration-controlled analytic artifacts and baselines.
• Coordinate with cross-functional teams for data fidelity and compliance.

Skills

Data analytics

Reliability analysis

Model development

Python

R

Documentation

Education

Bachelor’s degree in Data Science or related field

Tools

Python

R

Job description

Systems Planning and Analysis, Inc. (SPA) seeks a Senior Data Scientist specializing in predictive sustainment analytics for space mission systems.

You will apply data analytics, reliability modeling, and machine learning to improve operational availability, identify degradation trends, and support sustainment decision‑making with government‑furnished data. Collaborating with engineering, logistics, and operations teams, you will develop data pipelines, validate models, and communicate findings