Data Scientist
T4 · Engineering & machine learningApplication To do
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About the role
You will build the tasks where feature engineering quietly decides the outcome, and define what separates a legitimate feature from one that will not exist at inference time.
What you will do
- Designing datasets with deliberately planted leakage
- Reviewing agent feature engineering for future information
- Measuring distribution-shift sensitivity across tasks
- Writing the rationale behind each planted trap
Who we are looking for
- Production experience: You have shipped a model other people depended on
- Feature discipline: Clear judgment on what is available at prediction time
- Diagnostic skill: Distribution shift, drift, and silent degradation
- Clarity: Ability to explain why a metric improved for the wrong reason
Credential
Applied, production experience.
Pay
Up to $130 an hour for this role. Each role shows its top hourly rate, from up to $40 for generalist review to up to $300 for portfolio managers. Your starting rate depends on your credentials; sustained quality moves you towards the top rate. Joining the waitlist is not an offer of work; rates are agreed in writing before any project starts.