Data Analytics / Data Scientist Engineer - AGS SS#
Navitas Healthcare LLC
Job Title: Data Analytics / Data Scientist Engineer Location: Multiple locations across United States
Job Type: Full-Time / Contract Note: We are looking for candidates who are eligible for Top Secret Clearance. Position Overview We are seeking a highly skilled Data Analytics / Data Scientist Engineer to support advanced aerospace and defence analytics initiatives. This role focuses on leveraging large-scale telemetry, mission systems, and maintenance datasets to drive predictive insights and improve operational readiness. The ideal candidate will work on high-impact programs involving predictive maintenance, anomaly detection, and mission capability optimization within a complex, data-rich environment. Key Responsibilities
Summary This role is ideal for a data-driven professional passionate about solving complex, real-world problems using advanced analytics and machine learning . You will contribute directly to improving system performance, reliability, and operational efficiency in a highly technical domain. For more details reach at View email address on click.appcast.io .
Job Type: Full-Time / Contract Note: We are looking for candidates who are eligible for Top Secret Clearance. Position Overview We are seeking a highly skilled Data Analytics / Data Scientist Engineer to support advanced aerospace and defence analytics initiatives. This role focuses on leveraging large-scale telemetry, mission systems, and maintenance datasets to drive predictive insights and improve operational readiness. The ideal candidate will work on high-impact programs involving predictive maintenance, anomaly detection, and mission capability optimization within a complex, data-rich environment. Key Responsibilities
- Analyze large-scale datasets including telemetry, mission systems, and maintenance data
- Develop predictive models for:
- Equipment readiness
- Failure trends
- Maintenance optimization
- Perform time-series analysis on sensor and operational data
- Identify anomalies and patterns impacting system performance and mission success
- Build and deploy machine learning models to support sustainment strategies
- Collaborate with cross-functional teams including engineering, operations, and analytics
- Create dashboards and visualizations to communicate insights to stakeholders
- Support data-driven decision-making for operational and logistics optimization
- Strong programming skills in Python (Pandas, NumPy, SciPy)
- Experience with Machine Learning and predictive modelling
- Proficiency in statistical analysis and modelling techniques
- Solid experience with SQL and data querying
- Expertise in data visualization tools (e.g., Tableau, Power BI, Matplotlib)
- Hands-on experience with time-series data analysis
- Ability to work with large, complex datasets in production environments
- Experience working with sensor data analytics
- Exposure to telemetry data processing and exploitation
- Background in flight test data reduction and analysis
- Experience in aerospace, defence, or other regulated industries
- Familiarity with predictive maintenance and reliability engineering
- Collaborative, cross-functional team environment
- High-impact, mission-driven projects
- Opportunity to work on cutting-edge analytics and data science initiatives
Summary This role is ideal for a data-driven professional passionate about solving complex, real-world problems using advanced analytics and machine learning . You will contribute directly to improving system performance, reliability, and operational efficiency in a highly technical domain. For more details reach at View email address on click.appcast.io .
Vacancy posted 1 day ago
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