# Senior Data Scientist

**Company:** [Traba](https://hotfix.jobs/companies/traba)
**Location:** New York, NY
**Role:** Data Science
**Salary:** $180k – $215k/yr
**Experience:** 4+ years
**Skills:** Python, SQL, scikit-learn, PyTorch, pandas, statsmodels, A/B Testing, Causal Inference, llm evaluation, langfuse, braintrust, dbt, jupyter
**Posted:** 2026-07-29

> Senior Data Scientist leading measurement, modeling, evaluation, and experimentation for Traba's agentic AI platform in industrial supply chain operations. Own agent quality metrics, build statistical/ML models, design experiments proving causation, and deliver insights to leadership and operations teams. Requires 4+ years data science experience including 2+ years with LLMs/agents.

## Job Description

## Responsibilities
- Provide strategic insights and recommendations to senior leadership through in-depth statistical analysis and modeling.
- Design, build, and maintain the metrics, models, and reporting that track agent quality, 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 accessibility for both human and agent consumers.
- Oversee the development and maintenance of Traba’s data warehouse to ensure data availability and governance.
- Work closely with the Agents team and Operations leadership to understand their data needs and provide actionable, statistically grounded insights that drive continuous process improvement and operational efficiency.
- Provide Operations teams with models, self-service analytics, and advanced technologies—including AI-assisted tools—enabling them to independently analyze operational data and optimize their daily activities.
- 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
- 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.
- BS/MS/PhD in data science, statistics, machine learning, computer science, mathematics, economics, or a related quantitative field (or equivalent work experience).
- Strong proficiency in Python and common ML and statistics libraries (e.g., scikit-learn, PyTorch, pandas, statsmodels).
- Strong proficiency in SQL.
- Experience designing and analyzing experiments (A/B testing) and applying statistical inference or causal methods.
- Experience with LLM evaluation and observability tools like Langfuse, Braintrust, or internal harnesses, and with building automated evaluators.
- Excellent data storytelling skills to effectively engage with stakeholders.
- Strong ability to work across departments, identifying and prioritizing analytics problems to deliver actionable insights.
- Intense curiosity to ask “why?” and use data to find answers, combined with a “no task too small” mentality.
- Ability to work independently and as part of a team in a fast-paced startup environment.

## Bonus Skills
- Experience with notebook tools like Jupyter, Hex, Hyperquery, or equivalent.
- Experience with modern data stack tools like dbt or equivalent.
- Experience building internal agents or MCP servers for analytics workflows, or prior work at a vertical AI or AI-native data company (e.g., Hex, Omni, dbt).
- Experience fine-tuning, distilling, or rigorously evaluating LLMs, or applying causal inference and experimentation at scale.

## Benefits
- Start-up equity
- Competitive Salary
- 100% Paid health, dental & vision coverage
- Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees
- Commuter benefit
- Gympass Benefit
- Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health

## Salary
The compensation range for this position is set between $180,000 and $215,000. We also offer a highly competitive equity package.

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