Traba

Traba

Senior Data Scientist

New York City, NY · Senior · Contract

Sponsorship not specifiedDetected 85 days ago
PythonMachine LearningPyTorchscikit-learnPandasdbtData ScienceLLMsStatisticsA/B TestingAccessibilitySupply ChainLogisticsProcess ImprovementResearchLeadershipCommunicationCollaborationProblem Solving

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odds of building a lasting career here

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Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • Traba is the AI operating layer for the industrial supply chain.
  • That foundation gave us proprietary data from millions of shifts and deep enterprise relationships.
  • However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.

Responsibilities

  • 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.
  • 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.
  • 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 real customer workflows-capability, reliability, and unit economics-and partner with engineering, product, and operations leadership on the decisions that shape the platform.
  • The position is based onsite in New York City, five days per week, giving you the opportunity to collaborate closely with a high-performing team in a fast-paced, energetic environment.
  • Being in person supports real-time decision-making, stronger teamwork, and the kind of creative problem-solving that drives meaningful impact.
  • Light industrial labor drives the efficiency of global supply chains, encompassing essential, entry-level roles in warehouses and distribution centers.

Requirements

  • Experience with LLM evaluation and observability tools like Langfuse, Braintrust, or internal harnesses, and with building automated evaluators.
  • 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:
  • Communication Skills: Excellent data storytelling skills to effectively engage with stakeholders.
  • Collaboration Skills: Strong ability to work across departments, identifying and prioritizing analytics problems to deliver actionable insights.
  • Self-Motivation: Ability to work independently and as part of a team in a fast-paced startup environment.
  • Bonus Skills:

Skills

  • 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.
  • Excellent data storytelling skills to effectively engage with stakeholders.
  • Curiosity and Initiative:
  • Intense curiosity to ask "why?" and use data to find answers, combined with a "no task too small" mentality.
  • Communication
  • Collaboration
  • Curiosity and Initiative: Intense curiosity to ask "why?" and use data to find answers, combined with a "no task too small" mentality.
  • Experience with notebook tools like Jupyter, Hex, Hyperquery, or equivalent.
  • Experience with modern data stack tools like dbt or equivalent.
  • Experience fine-tuning, distilling, or rigorously evaluating LLMs, or applying causal inference and experimentation at scale.

Compensation

  • The compensation range for this position is set between $180,000 and $215,000, reflecting our market analysis and other relevant considerations.
  • 💰 Competitive Salary

Benefits

  • 📈 Start-up equity
  • 🩺 100% Paid health, dental & vision coverage
  • 🚍 Commuter benefit
  • 🏋🏽 Gympass Benefit
  • ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health
  • We also offer a highly competitive equity package designed to ensure you share meaningfully in the long-term success and upside of the business.
  • We create and communicate a bold direction that inspires a life-changing vision.

Company info

  • Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities.
  • We are backed by Founders Fund, Khosla Ventures, and General Catalyst.
  • OUR VALUES Dream BIG - We are on a path to change the world for the better.
  • 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.
  • 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.
  • 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.
  • Dream BIG - We are on a path to change the world for the better.
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This listing is sourced directly from Traba's careers page and normalized into a canonical job model.