Senior Applied Scientist (Algorithmic Pricing) - Pricing, Traffic & Trading Tech (All Genders)
Berlinonsitesenior
Posted today · via Workday
About this role
THE ROLE AND THE TEAM As a Senior Applied Scientist in the Pricing Platform department, you will develop machine learning models and algorithms that build the backbone of our algorithmic pricing solution. Your contributions will be pivotal to our mission of building a cutting-edge algorithmic pricing solution, where you will leverage deep learning and gradient boosted trees to solve large-scale forecasting problems. While this solution is essential for optimizing profit and managing the stock risk across all articles on the Zalando platform, it presents significant challenges due to the scale and seasonality of our inventory. You will collaborate with fellow Data Scientists to tackle complex challenges at the intersection of machine learning, causal inference, and operations research.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, databricks, pytorch, tensorflow, mlflow…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Berlin. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythondatabrickspytorchtensorflowmlflowteams
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