Data Scientist, Pricing

About the role

Pricing sits at the point where margin, conversion and customer trust all pull against each other. You will build the models that set discount depth, decide which items get a delivery-fee waiver, and forecast the demand effect of a campaign before we run it.

What the work involves

Most of it is elasticity estimation, causal inference and experiment design, not deep learning. We run a lot of experiments, and a large part of your job is making sure they are designed well enough to be worth running, and read honestly afterwards.

You will work alongside a pricing product manager and two engineers who put your models into production. The models have to be explainable, because a category head will ask why an item was discounted and a shrug is not an answer.

What we look for

Three to six years in an applied data science role with real experiment design experience. Strong SQL and Python are assumed. What we weight most heavily is judgement: knowing when a simpler model is better, and being able to say clearly what a result does and does not prove.