Torchlight™

• Develop and productionize statistical machine learning models for probabilistic country attribution based on browsing patterns and behavioral signals • Design and refine predictive models and statistical algorithms to improve accuracy and reliability of behavioral calculations • Work with petabyte-scale datasets to extract, clean, and analyze large volumes of behavioral data • Build scalable data pipelines and modeling workflows using Python and SQL • Collaborate with engineering and product teams to integrate models into production services • Create clear visualizations and reports to communicate model performance and insights • Own end-to-end algorithm development and model lifecycle management • Mentor junior team members as the role evolves into Data Scientist Lead

• Architecting, implementing, and continually optimizing short- and long-term contract strategies, including sophisticated pricing models. • Serving as the central nexus between legal, finance, sales, and marketing teams to ensure flawless strategic alignment. • Proactively identifying and developing robust avenues for sustained, exponential growth into existing client spaces and successfully capturing new client opportunities within the defense and federal sector.

• Develop and maintain a highly available, low-latency, and scalable API and full stack applications. • Write clean, efficient, and well-documented code for both front-end and back-end components. • Leverage managed cloud services to their full potential, serverless data warehouse for analytics, managed RDMS, serverless execution, asynchronous messaging, and orchestration for complex processes. • Utilize Terraform to define and manage our infrastructure as code (IaC), ensuring a reproducible and automated environment. • Collaborate closely with cross-functional teams, including product owners, data scientists, and other engineers, to deliver high-quality solutions. • Take ownership of the entire software development lifecycle, from conception and design to deployment and ongoing maintenance. • Troubleshoot and resolve complex technical issues, ensuring the reliability and performance of our systems.