Lead Data Scientist

Staff Data Scientist | Series A | VC - Backed AI Startup | Defense | Maritime Intelligence | The CompanyWe're partnering with a high-profile, Series A, VC-backed AI startup building the next generation of defense and maritime intelligence infrastructureThis team is developing a global sensor constellation powered by proprietary AI and robotics "” delivering real-time visibility into maritime activity at a scale that hasn't existed before.The ProductTheir platform deploys smart edge-compute systems across fishing vessels and maritime fleets worldwide "” collecting video, GPS, and multi-modal sensor data in real time.That data is ingested, processed, and surfaced through a customer-facing platform "” powering insights across illegal fishing detection, smuggling prevention, and maritime safetyUnder the hood:Distributed IoT systems at global scaleComplex data pipelines across AWS + Azure (including gov cloud)Real-time analytics + secure API infrastructureHigh-stakes environments with strict compliance requirementsWhy This Role MattersThis isn't another dashboarding role.As a Staff Data Scientist, you'll sit at the core of the platform "” turning massive, messy, high-dimensional sensor data into real-world intelligenceYou'll also play a critical role in building feedback loops for edge-deployed AI systems, directly improving how models perform in the wild.Why You Should Join? Mission-driven impact "” your work directly contributes to global security and saving lives at seaTrue 0?1 ownership "” shape analytics architecture and influence product directionCutting-edge problems "” multi-sensor, time-series, geospatial data at scaleGrowth stage "” strong revenue momentum + real product tractionFlexible career path "” stay as a high-impact IC or grow into leadershipWhat You'll DoAnalyze large-scale, real-world sensor data to uncover patterns, anomalies, and insightsBuild scalable analytics pipelines powering customer-facing intelligence productsPartner with product + customer teams to translate complex operational problems into data solutionsIdentify model drift, failure modes, and performance gaps across deployed AI systemsDesign feedback loops for continuous learning and model improvementBuild internal tools for visualization, experimentation, and metric trackingDefine and refine metrics for evaluating AI perception and detection systemsEnsure data quality, integrity, and reliability across the pipelineWhat They're Looking For10+ years in applied data science, shipping production-grade systems Strong Python + SQL skills (pandas, numpy, scikit-learn)Experience with time-series, geospatial, or multi-sensor dataDeep understanding of statistical modeling (clustering, regression, anomaly detection)Familiarity with ML ops (dataset versioning, labeling workflows, monitoring)Strong communicator "” able to translate complex data into actionable insightsBonus: Experience working with edge AI systems or in maritime, aerospace, or automotive domainsTech StackPython, pandas, numpy, scikit-learn, SQLThe TeamHigh-ownership, high-ambiguity environment "” you'll be expected to lead without a playbookLean, mission-driven team where engineers own outcomes end-to-endFast-moving "” ideas get shipped, not parkedStrong builder culture: "you build it, you run it"Hybrid but hands-on "” expect meaningful in-office collaborationWho This Is Perfect For? You've operated at Staff/Principal level and want real ownershipYou enjoy messy, real-world data problems, not just clean datasetsYou want your work to matter beyond dashboards "” real-world impactJoin a team turning cutting-edge AI into real-world impact "” where your work shapes global security, not just dashboards

Created: 2026-05-09