Senior Data Scientist — Predictive Space Analytics

Arenatechnologies; Colorado Springs, Northern (CO, KY); Hybrid; USD 160,000 - 240,000; Full time

Job summary

Systems Planning and Analysis, Inc. (SPA) seeks a Senior Data Scientist/SME to support the Space and Intelligence Division in Colorado Springs, focusing on predictive analytics, reliability modeling, and data-driven sustainment insights for space mission systems.

You will collaborate with engineering, logistics, and operations teams to build, validate, and deploy models using Government data and SBIR analytics tools, delivering actionable analyses to program management and reviews.

Qualifications

• US Citizenship with TS/SCI clearance at time of application with ability to obtain and maintain SAP clearance
• Bachelor’s degree in Data Science, Engineering, Applied Mathematics, Computer Science, Analytics, or related field and more than 10 years of relevant experience
• Experience with Python, R, or similar analytics tools
• Experience working with datasets, metrics, or basic statistical/ML techniques
• Strong analytical skills, problem-solving abilities, and documentation proficiency
• Ability to report to designated work location in Colorado Springs, up to full time, based on the needs of the customer

Responsibilities

• Develop, maintain, and refine predictive analytics models supporting sustainment of space mission systems.
• Analyze operational data, maintenance records, telemetry streams, reliability metrics, and system performance trends to identify degradation or failure indicators.
• Support the development of predictive maintenance models, reliability assessments, and CBM+ analytical products under senior guidance.
• Prepare and validate data pipelines, feature engineering workflows, and model QA steps to ensure analytical accuracy and repeatability.
• Assist with development of failure mode analyses, lifecycle performance studies, and sustainment risk assessments.
• Apply supervised and unsupervised ML techniques—where permitted—to support anomaly detection, maintenance forecasting, and reliability trend identification.
• Produce clear analytical summaries, technical findings, sustainment metrics, and decision-support products for program management and engineering reviews.
• Maintain configuration‑controlled analytical artifacts and contribute to sustainment baselines supporting TO Task 5 deliverables.
• Coordinate with cross‑functional teams to ensure data fidelity, traceability, and compliance with sustainment frameworks.

Skills

Python

R

Data analysis

Documentation

Education

Bachelor’s degree in Data Science, Engineering, Applied Mathematics, Computer Science, Analytics, or related field

Tools

Power BI

Tableau

Job description

Systems Planning and Analysis, Inc. (SPA) seeks a Senior Data Scientist/SME to support the Space and Intelligence Division in Colorado Springs, focusing on predictive analytics, reliability modeling, and data-driven sustainment insights for space mission systems.

You will collaborate with engineering, logistics, and operations teams to build, validate, and deploy models using Government data and SBIR analytics tools, delivering actionable analyses to program management and reviews.