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.
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Required Experience:
IC
Job Title: Data Analytics / Data Scientist EngineerLocation: Multiple locations across United States Job Type: Full-Time / ContractNote: We are looking for candidates who are eligible for Top Secret Clearance.Position OverviewWe are seeking a highly skilled Data Analytics / Data Scientist Engineer t...
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.