Tech Stack
PythonSQLScikit-LearnPytorchPandasStatsmodelsLangfuseBraintrustData WarehouseJupyterHexHyperqueryDbt
Solid badges = required, outlined = preferred
Responsibilities
- Design, build, and maintain the metrics, models, and reporting that track agent quality, reliability, adoption, and unit economics.
- Build evaluation and experimentation as a first-class discipline using datasets from production traces, rubrics, automated graders, and regression suites.
- Identify key business challenges such as agent failure modes, tool-use patterns, cost, and latency, and build statistical and machine-learning models to solve them.
- Architect scalable analytics and modeling infrastructure to ensure data integrity, governance, and accessibility.
- Oversee the development and maintenance of Traba's data warehouse and mentor building scientists and analysts.
Soft Skills
A/B TestingCausal InferenceWritten CommunicationCross-Functional CollaborationMentoring
Benefits
- Commuter Benefits
- Dental
- Equity
- Gym/Wellness
- HSA/FSA
- Health Insurance
- Mental Health
- Vision
Culture
Customer-ObsessedFast-PacedStartup EnergyMentorship Program
Requirements
Required: BS/MS/PhD in data science, statistics, machine learning, computer science, mathematics, economics, or a related quantitative field (or equivalent work experience)
Regions: Us
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About traba
Industry: saas
Size: small
Traba is the AI operating layer for the industrial supply chain, building applied AI that drives real productivity gains and transforms global supply chain operations at scale.
View company profile →Compensation
Base salary: $180,000 – $215,000 USD
Equity: Highly competitive equity package designed to ensure you share meaningfully in the long-term success and upside of the business