Senior Applied Scientist at Zalando
Berlin, , Germany -
Full Time


Start Date

Immediate

Expiry Date

12 Sep, 25

Salary

0.0

Posted On

13 Jun, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Decision Making, Data Driven Decision Making, Use Case

Industry

Information Technology/IT

Description
Responsibilities

The Gift Cards team at Zalando is seeking a Senior Applied Scientist to explore and validate new growth opportunities. Our team manages a broad and multi-channel business spanning online sales, physical retail partnerships, and corporate benefits. Because of the multi-channel nature of the business, our team interacts with a wide variety of internal and external stakeholders. The questions addressed will include, (1) which product areas present the highest growth potential?, (2) what are the optimal strategies and policies to drive this growth?, and (3) how can we rigorously test and measure the value of our strategy?
As a Senior Applied Scientist in the Gift Cards team, you will drive the exploration and validation of growth opportunities in the team. To be successful, you will need to rely on a wide range of scientific, organizational, and personal skills. The two primary areas of scientific expertise we will use are experimentation and observational causal inference, so a strong background in statistics and causal analysis is essential. Interest and experience with mapping business needs to scientific research and finding solutions in ambiguous problem spaces is also expected, as well as working pragmatically with colleagues from a wide variety of backgrounds to find feasible workable solutions that will yield reliable and actionable insights.
This role will be attractive to candidates seeking to make an impact on a collection of critical business problems for Zalando and advance their career while doing so. The problem space here is ambiguous, so the ideal candidate will be intellectually curious, entrepreneurial, and experienced with a range of applied science methods. Core skills in statistics and experimentation are essential, and expertise with advanced statistical tools in both experimental and observational causal inference are required. Familiarity with the retail e-commerce and/or fashion sectors and excellent communication skills are both a plus and experience addressing business problems related to gift cards, vouchers, or pricing is a strong plus.

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