Aerospace and Defense, Analysis Skills, Computer Programming, Cross-Functional, Data Analysis, Data Processing, Data Reduction, Data Science, Data Sets, Data Visualization Tools, Logistics, Machine Learning, Operational Audit, Operational Improvement, Operational Strategy, Performance Management, Power BI, Predictive Modeling, Production Systems, Python Programming/Scripting Language, Reliability Engineering, Reporting Dashboards, SQL (Structured Query Language), Statistical Modeling, Statistics, Systems Maintenance, Systems Reliability, Tableau, Team Player, Telemetry, Test Data, Time Series Analysis, Top Secret Clearance, Training Data Sets
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
- 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
Required Skills & Experience
- 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
Preferred / Nice-to-Have
- 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
Work Environment
- 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 shubham.sharma@navitassols.com.