Data Analytics / Data Scientist Engineer - AGS 0527 SS#
Navitas, Inc.
Sacramento, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 83KJob location
Sacramento, United States of America
Tech stack
Big Data
Computer Programming
Data Reduction
Data Visualization
Database Queries
Python
Machine Learning
NumPy
Operational Data Store
Reliability Engineering
Power BI
SciPy
SQL Databases
Tableau
Pandas
Matplotlib
Build Management
Data Analytics
Job 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.
Requirements
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