[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Amazon · Herndon, VA # Applied Scientist, Leo Security US, VA, Herndon Research & Science Listed on Amazon’s official careers site. Posted October 19, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10583418/applied-scientist-leo-security) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Applied Scientist, Leo Security ## Job description Amazon Leo is a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world. We are looking for an Applied Scientist to join the founding cohort of the Engineering and R\\&D team within Leo Space Security. The team defends the manufacturing lines, launch sites, and global ground infrastructure behind the constellation from the most sophisticated threat actors on the planet. The data is unlike anything you have worked with: badge and door-access events, asset movement, network telemetry, and industrial control signals from factories, ground stations, and launch facilities, all of which must be modeled, baselined, and defended. You will build the statistical and behavioral models that separate threat actor behavior from the noise of a global operation, and the privacy-preserving data representations that let detection science scale without exposing sensitive data. This is an R\\&D role with a production mandate: every model you build becomes part of the system Leo's security teams use to protect the constellation. \#### Export Control Requirement Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. ### Key job responsibilities - Build behavioral and statistical models that baseline normal activity across heterogeneous security telemetry, including specialized industrial-control and factory-floor data sources, so detections extend to new environments with low false-positive rates. - Design privacy-preserving representations of sensitive security data, and verify that models and detections tuned against them remain accurate against the real data — turning data-protection guarantees into measurable, provable properties rather than assertions. - Define the methodology and own the analysis for difficult, loosely defined problems: gather complex data across domains, select the right techniques from a range of data science methods, and justify your approach with evidence. - Develop the metrics and evaluation frameworks that measure model and detection performance against threat actor behavior before a model is trusted in production. - Contribute to the team's neurosymbolic reasoning platform, adapting state-of-the-art techniques from the literature and shipping components at production quality. - Document your work with the rigor of a peer-reviewed publication, and communicate results clearly to both scientific and security-operations audiences. ### A day in the life You will move between analysis and production in the same week: profiling a telemetry source the team has never modeled, establishing what normal looks like for it, and shipping the baseline as a component detections build on. Security engineers on your team translate threat intelligence into the adversary behaviors that matter; you build and tune the models that detect those behaviors and evaluate model performance against them. You might spend a morning chasing a false-positive pattern to its statistical root cause, and the afternoon verifying that an anonymized dataset still preserves the signal a detection depends on. You will work semi-autonomously with guidance from senior scientists, backtest candidate detections against retained telemetry, and deliver scientific artifacts that ship. ### About the team Leo Space Security protects the people, facilities, hardware, and supply chain behind a global satellite constellation. The Engineering and R\\&D team within this organization builds the platforms and tooling the security pillar teams operate on, moving security operations from manual triage to correlation-based detection, automated response, and agentic AI. The team is composed of applied scientists, software engineers, and security engineers working across physical and digital security domains. \#### Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. \#### Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. \#### Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. ## At a glance - Posted by the employer: Oct 19, 2026 - First seen by OpenNash: Oct 25, 2026 - Last checked: Nov 1, 2026 - Listed for: 13 days - Location: US, VA, Herndon[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10583418/applied-scientist-leo-security) ## Hiring at Amazon - Open jobs: 21,930 - New in the last 7 days: After two weekly collections - Tracked since: Jul 10, 2026 [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Amazon ### [Applied Scientist, Linear Personalization Experience Team (LPEX)](https://jobs.opennash.com/companies/amazon/jobs/a5e30a9def8265c0785e/) US, WA, Seattle ### [Applied Scientist, Mobile Manipulation Robotics (I/O)](https://jobs.opennash.com/companies/amazon/jobs/cd652876eea0b1a35f5a/) US, MA, North Reading ### [Applied Scientist, NA Operations](https://jobs.opennash.com/companies/amazon/jobs/46d6c76a05835970bad8/) US, WA, Bellevue ### [Applied Scientist, Neuron ARG](https://jobs.opennash.com/companies/amazon/jobs/1401f03088c5423f83fd/) US, WA, Seattle ### [Applied Scientist, Neuron ARG, Annapurna ML](https://jobs.opennash.com/companies/amazon/jobs/22a38b2a90903cd945de/) US, WA, Seattle ## Similar jobs at other companies ### [Sr Applied Data Scientist - Search and Browse (applied ML, LLMs, ML Ops)](https://jobs.opennash.com/companies/target/jobs/0923ac6213001fd36d99/) Target · Canada ### [Sr Applied Data Scientist - 1:1 Personalization, Audience and Experimentation (applied ML, PyToch, A/B testing)](https://jobs.opennash.com/companies/target/jobs/edc06d0a1943ad5a5ba0/) Target · Mongolia ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States ### [Applied Researcher 1](https://jobs.opennash.com/companies/ebay/jobs/446f6c4cf76f183fbba3/) eBay · San Jose, California ### [Applied Scientist II](https://jobs.opennash.com/companies/microsoft/jobs/1932503c468419f688ab/) Microsoft · United States, Washington, Redmond OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. [ OpenNash ](https://opennash.com/) AI-native services firm that builds custom software and 24/7 AI agents. OpenNash Jobs is an OpenNash Applied AI project. [Book time with OpenNash](https://calendly.com/opennash/new-meeting?hide_gdpr_banner=1) Jobs - [Search jobs](https://jobs.opennash.com/search/) - [Companies](https://jobs.opennash.com/explore/) - [Hiring report](https://jobs.opennash.com/reports/hiring/) - [AI assistants](https://jobs.opennash.com/connect/) - [How it works](https://jobs.opennash.com/methodology/) OpenNash - [opennash.com](https://opennash.com/) - [Services](https://opennash.com/ai-agent-consulting/) - [OpenNash CX](https://opennash.com/cx/) - [AI Tools](https://opennash.com/ai-tools/) - [Blog](https://opennash.com/blog/) - [About](https://opennash.com/about/) Contact - [hello@opennash.com](mailto:hello@opennash.com) - [LinkedIn](https://www.linkedin.com/company/opennash) - [Support](https://jobs.opennash.com/support/) - [Privacy](https://jobs.opennash.com/privacy/) - [Terms](https://jobs.opennash.com/terms/) © 2026 OpenNash, Inc. Company names and public job postings belong to their respective owners. Employers control source availability and application decisions.