Conduct multidisciplinary trade, optimization, sensitivity, and system-of-systems studies to develop and evaluate next-generation missile and weapon concepts.
Compensation
$105,000 Annually
Maximum Rate
$245,000 Annually
Responsibilities
Conduct multidisciplinary trade, optimization, sensitivity, and system-of-systems studies to develop and evaluate next-generation missile and weapon concepts.
Analyze problems spanning missile design and performance, mission planning, fire control and weapon scheduling, ballistic missile defense, anti-air warfare, hypersonic defense, defensive space control, and early-stage hardware design.
Formulate, develop, and implement state-of-the-art physics-based/empirical models for conceptual design and performance analysis of U.S. and adversary weapon systems.
Distill complex technical analysis into actionable insights; communicate findings to technical experts, executive management, and government sponsors to inform critical technical and programmatic decisions.
Translate operational needs and real-world constraints into mathematical formulations suitable for modeling, simulation, and optimization.
Requirements
PhD in Aerospace Engineering, Mechanical Engineering, or related discipline
The role involves conducting research on dietary intake assessment and foodborne hazard evaluation, using health economic modelling and statistical analysis to inform food safety policy and management.
Responsibilities
Plan, execute and manage research related to dietary intake assessment and the evaluation of foodborne hazards.
Develop and apply health economic modelling frameworks, including DALYs and QALYs, to quantify public health impact.
Analyze requirements, conduct manual and automated testing of web-based applications, develop test plans and scripts, and manage defects to support software releases.
Compensation
Estimated Salary/Wage
USD $75,000.00/Yr. Up to USD $85,000.00/Yr.
Responsibilities
Review business, functional, and technical requirements to identify test scenarios, acceptance criteria, risks, and coverage needs.
Perform manual testing of new features and enhancements, as well as comprehensive regression testing to validate system stability and quality prior to release.
Develop, document, and maintain test plans, test cases, test scripts, test data, and traceability documentation to support application lifecycle activities.
Design, implement, and maintain automated test scripts using Playwright and other approved automation frameworks to improve testing efficiency and coverage.
Test web-based applications, reports, dashboards, integrations, and web services/APIs to verify functionality, performance, accuracy, and compliance with requirements.
Contribute to the design and deployment of data initiatives that deliver accurate, timely, and actionable insights for decision making.
Compensation
The expected annual salary range for this position based on the primary location for this position of Oceanside, California is $160,992 to $180,600 per year. Actual pay within the range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.
Responsibilities
Design and deploy data initiatives
Improve digital performance management tools
Own lifecycle management of Digital Performance Management tools
Translate operational priorities into performance measures
Collect, validate, and analyze operational, quality, and delivery data
Requirements
Bachelor’s degree in Science, Engineering, or Data Analytics
Lead a team of Data Scientists, Analysts, and Data Engineers to develop scalable data science, AI, and analytics solutions that advance marketing science and innovation across the advertising industry.
Lead, mentor, and develop a team of 4+ Data Scientists, Analysts, and Data Engineers
Oversee the development and delivery of scalable data products and analytics solutions
Manage Databricks data architecture, including source-level tables, ETL/ELT pipelines, and production workflows
Lead the design and implementation of data integrations and delivery solutions, including APIs, SFTP, and Model Context Protocol (MCP) connections
Oversee the development and deployment of machine learning models for attribution, forecasting, fraud detection, anomaly detection, recommendation systems, and marketing optimization
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.
Responsibilities
Analyze diverse and complex data sources to identify spatial, temporal, behavioral, and other patterns, relationships, trends, anomalies, and indicators of criminal or nefarious activity.
Transform, develop, and analyze raw and structured data to generate timely and actionable findings for operational missions.
Apply analytical methodologies, investigative techniques, and specialized tools to identify previously unknown actors, activities, relationships, and patterns in support of threat identification, interdiction, force protection, criminal investigations, and prosecution.
Develop and deliver tailored analytical products using charts, maps, timelines, visualizations, infographics, written assessments, and briefings to support operational decision-making.
Work directly with operational customers and government leadership to understand mission requirements, refine analytical approaches, communicate findings, and provide analytic reach-back support.
Requirements
Bachelor’s degree in a relevant discipline such as data science, criminal justice, intelligence analysis, geography, computer science, or a related field, or equivalent relevant experience.
Nice to have: Master’s degree
Nice to have: experience in law enforcement, military, or federal government
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