Posted on 06 May 2026

Founding Data Science Engineer (Evidence Breadth)

Remote
Permanent
DOE

Data/AI | Scale the System

Our client is building a system that lets AI reason over complex, high-stakes data - but it only works if it can scale across different domains.

They’re hiring a Founding Data Science Engineer (Evidence Breadth) to make that happen.

This role is all about expansion - taking what works in one area and making it work everywhere, faster each time.

What You'll Do

  • Own scaling the system across new domains - from first use case to many
  • Build the playbook for onboarding new areas (data sources, structure, validation, quality checks)
  • Turn manual processes into reusable workflows, agents, and configs
  • Decide what transfers vs. what needs adapting: data, prompts, schemas, agents
  • Identify domain-specific nuances that need to be modelled properly
  • Track quality, coverage, cost, and speed as the system scales
  • Work with engineering to evolve the data model and structure
  • Partner with AI teams to ensure the system works across different contexts, not just one

What They Want

  • You can take something that works once and make it repeatable at scale
  • Strong judgment on what should be reused vs rebuilt
  • You think in systems - not one-off solutions
  • Comfortable dealing with messy, domain-specific data
  • You care about quality, not just speed of expansion
  • You can build and ship - not just analyze

Nice to Have

  • Experience with data engineering, AI pipelines, or applied ML systems
  • Exposure to structured data, knowledge graphs, or large-scale ingestion
  • Familiarity with LLMs, agents, or automated data workflows
  • Background in complex domains where data isn’t clean or standardized

Why This Role

  • Own how the system scales from 1 → many
  • Direct impact on whether the product actually generalizes
  • Work at the intersection of data, AI, and real-world complexity

What it's Not

  • Not a generic data pipeline role
  • Not just loading datasets
  • Not frontend
  • Not model research
Ready to expand?

Let’s build your team

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