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Develops statistical and machine learning models for kinematic behavior detection using live, historical, time-series, and geospatial data. Responsibilities include data integration, ETL, feature engineering, forecasting, anomaly detection, algorithm evaluation, simulation, visualization, reporting, documentation, and stakeholder collaboration. The role also contributes to mission-focused software applications, APIs, data workflows, code reviews, troubleshooting, and agile development in a remote-first environment.

Lead statistical and machine learning model development for time-series and geospatial data supporting the FALCON mission. Responsibilities include feature engineering, forecasting, anomaly detection, ETL, dataset creation, algorithm evaluation, simulation, data visualization, reporting, documentation, and stakeholder collaboration. The role also contributes to software applications, APIs, data pipelines, code reviews, troubleshooting, and iterative agile development.

Lead development of statistical and machine learning models for time-series, geospatial, kinematic, and radar data. Build analytic solutions, training datasets, ETL workflows, forecasting and anomaly-detection models, simulations, visualizations, and performance metrics. Integrate multi-source sensor data, enhance algorithms, document processes, and collaborate with engineers, analysts, mission partners, and stakeholders in an agile environment.

Serves as a strategic finance partner to business and functional leaders, leading planning, forecasting, budgeting, performance analysis, financial modeling, and executive decision support. Supports pricing strategy for new business, renewals, products, services, and contracts by evaluating profitability, risk, investments, and market dynamics. Improves pricing governance, reporting, controls, and analytical processes while leading finance talent and coordinating cross-functional stakeholders.

Lead the architecture and development of agentic engineering capabilities across the software development lifecycle. Build AI-powered workflows, agents, integrations, guardrails, evaluation systems, and observability patterns. Establish engineering data architecture and systems of record while advising teams on adopting agentic development practices. Drive scalable implementation, organizational adoption, measurement, and continuous improvement of AI-enabled engineering operations.

The Software QA Engineer creates and executes test plans, evaluates software features, provides usability and workflow feedback, supports customers and users, and interfaces with government customers on requirements, development progress, bug fixes, training, and technical support. The role supports intelligence applications across Linux, Windows, macOS, and Android platforms.

Drives adoption and growth of new products and complex solutions for defense and intelligence customers. Builds relationships with senior personnel and operational users, translates customer workflows into product capabilities, identifies business opportunities, and supports sales and marketing with positioning, proposals, workshops, training, and customer engagements. Requires active Secret clearance with TS/SCI eligibility, defense or intelligence community experience, technical product knowledge, and travel up to 50%.

Develop and maintain application software using C++, contributing to requirements analysis, software design, coding, testing, and technical documentation. The engineer will follow established development processes, create requirements and design artifacts, prepare test plans, and collaborate with senior team members while working independently when needed.

Provides internal technical support for desktop, laptop, virtual desktop, mobile, hardware, software, and operating system issues. Responsibilities include ticket and SLA management, Active Directory administration, Citrix VDI troubleshooting, Microsoft application support, Windows/macOS/Linux troubleshooting, mobile device support, hardware setup, system imaging, SCCM software deployment, documentation, escalations, and rotational 24/7 on-call coverage.

Owns end-to-end execution and integration of a complex satellite constellation across spacecraft, ground systems, communications, suppliers, launch, deployment, commissioning, and mission operations. Manages cost, schedule, technical performance, dependencies, risks, resources, suppliers, and operational readiness for $100M+ efforts. Establishes integrated plans, drives critical-path execution, resolves blockers, develops recovery strategies, and communicates decision-ready assessments to executives and cross-functional stakeholders.