Data Scientist - Junior/Journeyman Jobs
$100,000 per year
Apply (opens in a new tab)Data Scientist - Junior/Journeyman Jobs
Posted 3 days ago
SENIORITY
Mid
SALARY
$100,000 per year
About the role
- 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.
- Qualifications Required QualificationsUS 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
- Minimum 3+ years of 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
- Experience with reliability engineering concepts (FMEA, FRACAS, RCM, probability of failure models)
- Exposure to predictive maintenance modeling, CBM+, or digital sustainment environments
- Experience with analytics visualization tools (Power BI, Tableau)
- Familiarity with AI/ML modeling, feature engineering, or anomaly detection workflows
- Experience with defense systems, sustainment programs, or engineering teams
- Relevant early-career certifications (e.g., CompTIA Data+, AWS Practitioner, beginner reliability certs)
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
