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# Data Analytics / Data Scientist Engineer - AGS 0527 SS#

- **Company:** Navitas, Inc.
- **Location:** Los Angeles, CA, United States
- **Salary:** $83,200.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Computer Programming, Data Reduction, Data Visualization, Database Queries, Python (Programming Language), Machine Learning, NumPy, Operational Data Store, Reliability Engineering, Power BI, SciPy, SQL Databases, Tableau (Software), Pandas, Matplotlib, Build Management, Data Analytics
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7dd1e5a1772092d9

## About the Role

Do you have experience in Time series models?, * 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

## Description

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., * 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, 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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