# [Senior/Mid/Junior] data scientist · [city] or remote

We are hiring our [Nth] data scientist. You will own a model from problem framing to production monitoring. The first project is [the model, the surface]. The team is [N] scientists, [N] engineers, [N] PMs. [How we ship].

## You will be good here if

- You have shut a project down after the EDA because the answer was already there.
- You pick the metric before you see the result.
- [The third trait you actually care about].

## What you will not get

A pure notebook job. You will own the deployed model and the on-call that comes with it. We do not separate ML research from production.

## Compensation

[Currency][low] to [high] base. [low] to [high] percent equity. We post the band because we mean it.

## How we hire

30-second post, screen + assessment via Picked, 20-min interview via Picked, one on-site half-day with the team plus a live modelling design discussion. We aim to give a yes or no in 7 days.

## What is the rubric

Modelling judgement, communication of uncertainty, evaluation honesty, cross-team comms, curiosity. Not the count of frameworks on your CV.

That is the JD. Apply via [link] or just send a paragraph about the last project where you decided not to build a model.

[Your name], [your title]