Lead Data Scientist

• Distributed IoT systems at global scale
• Complex data pipelines across AWS + Azure (including gov cloud)
• Real-time analytics + secure API infrastructure
• High-stakes environments with strict compliance requirements

Why This Role Matters

This 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 intelligence.

You'll also play a critical role in building feedback loops for edge-deployed AI systems, directly improving how models perform in the wild., * Partner with product + customer teams to translate complex operational problems into data solutions

• Identify model drift, failure modes, and performance gaps across deployed AI systems
• Design feedback loops for continuous learning and model improvement
• Build internal tools for visualization, experimentation, and metric tracking
• Define and refine metrics for evaluating AI perception and detection systems
• Ensure data quality, integrity, and reliability across the pipeline

• 10+ 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 data
• Deep 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 insights

Bonus:

Experience working with edge AI systems or in maritime, aerospace, or automotive domains

We're partnering with a high-profile, Series A, VC-backed AI startup building the next generation of defense and maritime intelligence infrastructure. This 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 Product Their 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 safety.