Senior Staff Data Scientist

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. Job Overview: Our team is responsible for ensuring that AI systems deployed at scale are measurable, trustworthy, and decision‑ready. We build rigorous evaluation frameworks, analytics platforms, and KPI audits that directly influence product direction and real‑world safety outcomes. This role is primarily evaluation and analytics driven. As a Staff Data Scientist will own the definition, execution, and evolution of evaluation frameworks, metrics, and analytical methodologies used to assess AI/ML feature performance in real‑world deployments. Rather than focusing on core model development, this role emphasizes measurement rigor, error analysis, experimentation, and decision support—ensuring that metrics accurately reflect system behavior, business impact, and safety outcomes. Key Responsibilities: ​ Evaluation & Measurement Ownership Design, implement, and maintain offline and online evaluation frameworks for AI/ML features. Define, validate, and evolve KPIs, success metrics, and audit methodologies used across teams. Perform deep error analysis, bias analysis, and segmentation to identify failure modes and improvement opportunities. Own golden datasets, validation protocols, and benchmarking standards. Analytics & Insight Generation Conduct large‑scale analytical studies to understand feature performance, data quality issues, and system behavior. Translate complex analytical findings into clear, actionable insights for engineering, product, and leadership stakeholders. Challenge existing metrics or evaluation approaches when they fail to capture ground