Lead Data Scientists at GA Intelligence are technical leaders who shape strategy, architecture, and delivery across complex analytical projects. You’ll drive the design and implementation of high-performance solutions, set rigorous analytical standards, and contribute to the long-term technical direction of mission-critical systems. In addition to developing and maintaining critical models, you’ll act as a mentor, decision-maker, and trusted advisor within the team and with external stakeholders. Your teams will be comprised of Data Scientists and Software Engineers empowering you to deliver performant analytic solutions. Understand the Domain and Problem Space: Invest time in learning and understanding the mission, operational context, and problem space to ensure analytics align with real-world needs. Collaborate with domain experts to identify key challenges and opportunities for data-driven insights and the use of artificial intelligence. Lead Development Activities: Analyze data and assess the performance of existing analytics, identifying areas for improvement and optimization. Create new analytics while ensuring they are rigorously tested and validated to meet mission-critical standards. Lead implementation and delivery of high-impact analytic solutions that support mission-critical operations. Collaborate Externally: Represent GA-I 3 as a senior technical expert in discussions with customers, partners, and other engineering teams. Coordinate deployments and upgrades of data science solutions across distributed environments, including DoD and IC networks, ensuring operational readiness and reliability. Design for High Performance: Collaborate with software engineers to design analytics optimized for high performance and scalability. Focus on building solutions that can handle large-scale data operations efficiently, balancing computational demands with mission requirements. Identify bottlenecks and propose strategies to enhance analytical throughput and reliability. Build the Team: Hire and lead a team of software engineers and data scientists. Collaborate with engineering managers to provide mentoring, onboarding support, skill development, and career growth for your team. Provide technical leadership across the development lifecycle, including model validation, code reviews, and testing best practices. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; fourteen or more years of experience with a bachelor's degree, twelve or more years of experience with a master's degree, or nine or more years with a PhD. May substitute equivalent experience in lieu of education. Deep expertise in Python, R, or other data science languages. Demonstrated technical leadership in cross-functional analytical efforts. Strong written and verbal communication skills, including experience working directly with customers or stakeholders. Ability to obtain and maintain DoD security clearance is required. DESIRED SKILLS AND EXPERIENCE:Proven experience architecting and scaling machine learning systems. Expertise in backend architecture, distributed systems, and data pipeline design. Familiarity with technologies such as Kafka, Ni. Fi, AWS, Kubernetes, or Docker. Experience leading incident response, root cause analysis, and operational improvements. Ability to interface directly with customers and senior stakeholders. Experience working in the DoD or Intelligence Community.