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Data Scientist Equity USV-backed AI orchestration startup

Job in New York, New York County, New York, 10261, USA
Listing for: Jack & Jill
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist (+ Equity) at $8.7M USV-backed AI orchestration startup
Location: New York

Job Title

Data Scientist

Salary

Not Disclosed + Equity

Company Description

USV-backed AI orchestration platform building the future of autonomous company operations

Job Description

As the first Data Scientist, you will define the ML function from scratch for an elite team automating 59,000+ tasks monthly. You will build and deploy models that orchestrate AI agents across engineering, marketing, and finance, directly enabling solo founders to run billion-dollar businesses with human‑in‑the‑loop intelligence.

Location

New York City, USA

Why this role is remarkable
  • Join a seed‑stage powerhouse backed by $8.7M from Union Square Ventures and Acrew Capital at the ground floor.
  • Immense scale and impact: work on a platform already processing over 18 billion tokens per month for thousands of users.
  • High‑velocity environment: work directly with the founding team in NYC to ship production‑ready ML models that define a new product category.
What You Will Do
  • Design and deploy production‑grade ML models to power complex AI agent orchestration and task automation.
  • Translate ambiguous business requirements into well‑defined machine learning problems that improve agent decision‑making.
  • Build the company’s data science infrastructure from the ground up, establishing best practices for model measurement and impact.
The ideal candidate
  • Expert in Python with deep experience in pandas, scikit‑learn, and deep learning frameworks like PyTorch or Tensor Flow.
  • Proven track record of moving beyond notebooks to ship and maintain ML models in high‑scale production environments.
  • Background in NLP or LLM integration, thriving in unstructured environments where you own the technical roadmap end‑to‑end.
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