{"schemaVersion":"jobsearcher.job.v1","id":"0cac6b56d4572aa656bc0e82","url":"https://jobsearcher.com/jobs/0cac6b56d4572aa656bc0e82","canonicalUrl":"https://jobsearcher.com/jobs/0cac6b56d4572aa656bc0e82","title":"Lead Data Scientist","description":"Staff Data Scientist | Series A | VC - Backed AI Startup | Defense | Maritime Intelligence |\r\nThe Company\r\nWe’re partnering with ahigh-profile, Series A, VC-backed AI startupbuilding the next generation ofdefense and maritime intelligence infrastructure .\r\nThis team is developing aglobal sensor constellation powered by proprietary AI and robotics— delivering real-time visibility into maritime activity at a scale that hasn’t existed before.\r\nThe Product\r\nTheir platform deployssmart edge-compute systemsacross fishing vessels and maritime fleets worldwide — collectingvideo, GPS, and multi-modal sensor datain real time.\r\nThat data is ingested, processed, and surfaced through a customer-facing platform — powering insights acrossillegal fishing detection, smuggling prevention, and maritime safety .\r\nUnder the hood:\r\nDistributed IoT systems at global scale\r\nComplex data pipelines acrossAWS + Azure (including gov cloud)\r\nReal-time analytics + secure API infrastructure\r\nHigh-stakes environments with strict compliance requirements\r\nWhy This Role Matters\r\nThis isn’t another dashboarding role.\r\nAs aStaff Data Scientist , you’ll sit at the core of the platform — turningmassive, messy, high-dimensional sensor dataintoreal-world intelligence .\r\nYou’ll also play a critical role in buildingfeedback loops for edge-deployed AI systems , directly improving how models perform in the wild.\r\nWhy You Should Join?\r\nMission-driven impact— your work directly contributes to global security and saving lives at sea\r\nTrue 0→1 ownership— shape analytics architecture and influence product direction\r\nCutting-edge problems— multi-sensor, time-series, geospatial data at scale\r\nGrowth stage— strong revenue momentum + real product traction\r\nFlexible career path— stay as a high-impact IC or grow into leadership\r\nWhat You’ll Do\r\nAnalyze large-scale, real-world sensor data to uncoverpatterns, anomalies, and insights\r\nBuildscalable analytics pipelinespowering customer-facing intelligence products\r\nPartner with product + customer teams to translatecomplex operational problems into data solutions\r\nIdentifymodel drift, failure modes, and performance gapsacross deployed AI systems\r\nDesign feedback loops forcontinuous learning and model improvement\r\nBuild internal tools forvisualization, experimentation, and metric tracking\r\nDefine and refine metrics for evaluatingAI perception and detection systems\r\nEnsuredata quality, integrity, and reliabilityacross the pipeline\r\nWhat They’re Looking For\r\n10+ yearsin applied data science, shipping production-grade systems\r\nStrongPython + SQLskills (pandas, numpy, scikit-learn)\r\nExperience withtime-series, geospatial, or multi-sensor data\r\nDeep understanding ofstatistical modeling(clustering, regression, anomaly detection)\r\nFamiliarity withML ops(dataset versioning, labeling workflows, monitoring)\r\nStrong communicator — able to translate complex data into actionable insights\r\nBonus:\r\nExperience working withedge AI systemsor inmaritime, aerospace, or automotive domains\r\nTech Stack\r\nPython, pandas, numpy, scikit-learn, SQL\r\nThe Team\r\nHigh-ownership, high-ambiguity environment — you’ll be expected to lead without a playbook\r\nLean, mission-driven team whereengineers own outcomes end-to-end\r\nFast-moving — ideas get shipped, not parked\r\nStrong builder culture:“you build it, you run it”\r\nHybrid but hands-on — expect meaningful in-office collaboration\r\nWho This Is Perfect For?\r\nYou’ve operated atStaff/Principal leveland want real ownership\r\nYou enjoymessy, real-world data problems , not just clean datasets\r\nYou want your work to matter beyond dashboards —real-world impact\r\nJoin a team turning cutting-edge AI into real-world impact — where your work shapes global security, not just dashboards","company":"Ghost","rawCompany":"ghost","city":"Alameda","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-10T01:30:49.318Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Scientist","description":"Staff Data Scientist | Series A | VC - Backed AI Startup | Defense | Maritime Intelligence |\r\nThe Company\r\nWe’re partnering with ahigh-profile, Series A, VC-backed AI startupbuilding the next generation ofdefense and maritime intelligence infrastructure .\r\nThis team is developing aglobal sensor constellation powered by proprietary AI and robotics— delivering real-time visibility into maritime activity at a scale that hasn’t existed before.\r\nThe Product\r\nTheir platform deployssmart edge-compute systemsacross fishing vessels and maritime fleets worldwide — collectingvideo, GPS, and multi-modal sensor datain real time.\r\nThat data is ingested, processed, and surfaced through a customer-facing platform — powering insights acrossillegal fishing detection, smuggling prevention, and maritime safety .\r\nUnder the hood:\r\nDistributed IoT systems at global scale\r\nComplex data pipelines acrossAWS + Azure (including gov cloud)\r\nReal-time analytics + secure API infrastructure\r\nHigh-stakes environments with strict compliance requirements\r\nWhy This Role Matters\r\nThis isn’t another dashboarding role.\r\nAs aStaff Data Scientist , you’ll sit at the core of the platform — turningmassive, messy, high-dimensional sensor dataintoreal-world intelligence .\r\nYou’ll also play a critical role in buildingfeedback loops for edge-deployed AI systems , directly improving how models perform in the wild.\r\nWhy You Should Join?\r\nMission-driven impact— your work directly contributes to global security and saving lives at sea\r\nTrue 0→1 ownership— shape analytics architecture and influence product direction\r\nCutting-edge problems— multi-sensor, time-series, geospatial data at scale\r\nGrowth stage— strong revenue momentum + real product traction\r\nFlexible career path— stay as a high-impact IC or grow into leadership\r\nWhat You’ll Do\r\nAnalyze large-scale, real-world sensor data to uncoverpatterns, anomalies, and insights\r\nBuildscalable analytics pipelinespowering customer-facing intelligence products\r\nPartner with product + customer teams to translatecomplex operational problems into data solutions\r\nIdentifymodel drift, failure modes, and performance gapsacross deployed AI systems\r\nDesign feedback loops forcontinuous learning and model improvement\r\nBuild internal tools forvisualization, experimentation, and metric tracking\r\nDefine and refine metrics for evaluatingAI perception and detection systems\r\nEnsuredata quality, integrity, and reliabilityacross the pipeline\r\nWhat They’re Looking For\r\n10+ yearsin applied data science, shipping production-grade systems\r\nStrongPython + SQLskills (pandas, numpy, scikit-learn)\r\nExperience withtime-series, geospatial, or multi-sensor data\r\nDeep understanding ofstatistical modeling(clustering, regression, anomaly detection)\r\nFamiliarity withML ops(dataset versioning, labeling workflows, monitoring)\r\nStrong communicator — able to translate complex data into actionable insights\r\nBonus:\r\nExperience working withedge AI systemsor inmaritime, aerospace, or automotive domains\r\nTech Stack\r\nPython, pandas, numpy, scikit-learn, SQL\r\nThe Team\r\nHigh-ownership, high-ambiguity environment — you’ll be expected to lead without a playbook\r\nLean, mission-driven team whereengineers own outcomes end-to-end\r\nFast-moving — ideas get shipped, not parked\r\nStrong builder culture:“you build it, you run it”\r\nHybrid but hands-on — expect meaningful in-office collaboration\r\nWho This Is Perfect For?\r\nYou’ve operated atStaff/Principal leveland want real ownership\r\nYou enjoymessy, real-world data problems , not just clean datasets\r\nYou want your work to matter beyond dashboards —real-world impact\r\nJoin a team turning cutting-edge AI into real-world impact — where your work shapes global security, not just dashboards","datePosted":"2026-05-10T01:30:49.318Z","dateModified":"2026-05-10T01:30:49.318Z","hiringOrganization":{"@type":"Organization","name":"Ghost","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alameda","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0cac6b56d4572aa656bc0e82"},"url":"https://jobsearcher.com/jobs/0cac6b56d4572aa656bc0e82"}}