Senior data scientists and data engineers from top tech, quant or finance firms get paid for what they already know: what good data work looks like. You design realistic data science and data engineering tasks, write precise criteria for strong deliverables, and judge work in a consistent, defensible way. Remote, for people in the US, UK, Canada, Australia or New Zealand.
What you will do
- Design realistic, challenging tasks: exploratory analyses, statistical modeling, ML pipelines, ETL and pipeline design, SQL and Python workflows, and experiment or A/B test write-ups.
- Write precise, task-specific criteria that show what a good deliverable looks like.
- Apply consistent, evidence-based judgment so assessments are reproducible and defensible.
- Take structured feedback from senior reviewers and iterate on your work.
What you need
- 4+ years of professional data science, data engineering or machine learning experience at a leading tech or quant firm (mid-senior title; Applied Scientist, Research Scientist and ML Engineer or Scientist roles count), a top financial institution, or a top-tier consulting firm as a data scientist.
- A Fortune 100 company with a senior or manager-level title also counts, and the experience can be split across qualifying employers.
- Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference.
- Proven ability to turn messy real-world data into rigorous analyses and reliable pipelines.
- Excellent written English and the ability to explain technical findings clearly.
- A bachelor's degree from an English-speaking country.
- A detail-oriented, consistent approach, and comfort with feedback and calibrating against set standards.
- You must be based in the United States, United Kingdom, Canada, Australia or New Zealand.
How pay works
This job is paid hourly, at the rate listed above.
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