Data Analytics / Data Scientist Engineer - AGS 0527 SS#

Data Analytics / Data Scientist Engineer - AGS 0527 SS# NavitasPartners - 4.0 San Jose, CA Job Details Full-time | Contract From $40 an hour 13 hours ago Qualifications AI models Time series models Data visualization software proficiency Predictive modeling analysis NumPy SQL Pandas Business intelligence tools Machine intelligence Matplotlib Time Series Analysis Machine learning (ML) fundamentals Predictive analytics projects Query management Data analysis software

Full Job Description 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 .