Data Analytics / Data Scientist Engineer - AGS 0527 SS#


IT - CA - Los Angeles, CA
Los Angeles, California
Locations: Los Angeles, Sacramento, San Diego, San Francisco, San Jose
Posted On: May 27, 2026
Last Day to Apply: June 30, 2026
Pay: From $40.00 per hour

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.

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