Senior Data Scientist

The position is based onsite in New York City, five days per week, giving you th💼 Full-time💰 $180,000–$180,000🗓 2026-09-28

Core

Lead measurement and modeling for an agentic platform from 0→1, defining agent quality, reliability, and unit economics.

Role type

Senior IC data scientist (LLM/agent evaluation & experimentation)

Builds

Evaluation frameworks, experimentation infrastructure, and analytics for agentic workflows

Domain

AI/LLM operations, supply chain, industrial staffing

Deliverable

production ML models

Required skills

Python, SQL, statistical inference, causal methods, LLM evaluation, experiment design (A/B testing), data warehousing, data governance

Preferred skills

Jupyter, dbt, internal agent/MCP server development, LLM fine-tuning/distillation, vertical AI company experience

Technologies

scikit-learn, PyTorch, pandas, statsmodels, Langfuse, Braintrust

Responsibilities

Design metrics and models for agent quality/reliability/economics; build evaluation/experimentation discipline; architect scalable analytics infrastructure; oversee data warehouse development; mentor data science team

Seniority

Senior, hands-on IC with mentorship responsibilities

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About Traba

Series A200 Employees

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 system