Senior Data Scientist

Traba is the AI operating layer for the industrial supply chain. We started in workforce—temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve—and used it to embed ourselves inside their daily operations and create a far better customer experience through technology. Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships. But our edge is more than data: by connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. We are backed by Founders Fund, Khosla Ventures, and General Catalyst. Traba is hiring a Senior Data Scientist to join the founding Agents team and lead measurement and modeling for our agentic platform from 0→1. You’ll make the core calls on how agent quality is defined, measured, and improved; set the bar for statistical and scientific rigor; and build the evaluation, experimentation, and modeling foundations that every agent we ship is measured against. As a Senior Data Scientist at Traba, you’ll own how we model and understand agent performance inside re [... source excerpt omitted ...] reliability, adoption, and unit economics for stakeholders across the Agents and Operations teams. Build evaluation and experimentation as a first-class discipline—datasets from production traces, rubrics, automated graders, regression suites, and the experiment design and analysis that prove causation—so every agent improvement we ship is backed by evidence. Identify key business challenges and opportunities—including agent failure modes, tool-use patterns, and cost and latency—and build statistical and machine-learning models to drive product improvements and growth initiatives. Architect scalable analytics and modeling infrastructure to ensure data integrity, governance, and [... source excerpt omitted ...] es. Mentor the scientists and analysts who build alongside you, and set the standards that define what “good” looks like for measurement, modeling, and experimentation at Traba. Qualifications: Experience: 4-8 years in data science, machine learning, applied statistics, or quantitative research, with 2+ years of hands-on work modeling or measuring LLM- or agent-based systems in production. Education: BS/MS/PhD in data science, statistics, machine learning, computer science, mathematics, economics, or a related quantitative field (or equivalent work experience). Technical Skills: Strong proficiency in Python and common ML and statistics libraries (e.g., scikit-learn, PyTorch, pand