ML / Data Science Consultant

At Quill, we are building PodPromote, a system that turns a podcast client's intake into a paid advertising strategy: which ad partners to use, budget per tactic, and expected downloads.
We are looking for a senior data scientist or ML practitioner for a short, one-time engagement. This is not a full-time hire.  We need an expert to review our data and tell us exactly what to build, including whether we need ML at all.

What you'll do

  • Review our historical intake-to-strategy data and identify which inputs actually drive strategy selection
  • Recommend the simplest approach (rules, classical ML, or LLM-assisted) that hits 85–90% accuracy with explainable outputs
  • Define the evaluation framework and a clear build plan
  • Hand it off to our team so they can own it

You have

  • Production ML experience: models real clients used
  • Strong small-data, tabular skills (multi-label classification, feature importance, Python, scikit-learn, XGBoost/LightGBM)
  • The judgement to recommend "no ML" when that is the right call
  • Clear communication and comfort mentoring a developer
  • A base in Canada (required)

Details: Remote · Starting October 2026 · Hours scoped together · Rate open

Interested? Send a short note mentioning your interest in this contract position with your CV and we will get in touch with you!

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Source: Wellfound.

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