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Data Scientist; Paid Marketing

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Depop
Full Time position
Listed on 2026-02-28
Job specializations:
  • Marketing / Advertising / PR
    Marketing Strategy, Digital Marketing
Job Description & How to Apply Below
Position: Staff Data Scientist (Paid Marketing)
Location: Greater London

Company Description

Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.

Find out more at

Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users.

We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.

If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners.

Role Overview

Depop is currently in the process of rapid growth, with Paid Marketing performing a critical role. As part of this, there is a demand for complex, in-depth measurement to help us understand performance of this investment and drive the future strategy. There is therefore space for a Staff Data Scientist to become an integral part of our Marketing Analytics team.
The marketing analytics team works closely with marketing stakeholders to support all aspects of Depop’s marketing portfolio. This includes working to support the team plan campaigns and measure performance across a suite of channels, including paid marketing, ATL (for example TV and OOH) and Influencers.

We also work with many other parts of the business, for example the data team, to ensure that data being produced is accurate and useful for analysis, or the Adtech team to implement new tools and tracking across our marketing ecosystem. The Staff Data Scientist will work to support our marketing team to measure the effectiveness of our paid marketing efforts, using analytical methodology and insights.

You will help to drive our measurement roadmap, developing and implementing techniques including Multi Touch Attribution (MTA), designing and implementing tests and analysis on our targeting efforts and building models to understand the Lifetime Value (LTV) of customers acquired through marketing. The role will work with Senior Marketing Leadership and the Executive to drive the agenda around our measurement approach and provide advice on overall Marketing strategy.

This role will therefore require you to develop a deep understanding of a specific area and also a high level view across the business, enabling you to guide your stakeholders to make robust, data-driven business decisions.

Responsibilities
  • Strategic thinking and direction-setting: you will be expected to become a thought leader for the Senior Marketing Leadership team, helping to identify growth and optimisation opportunities using a variety of data sources and analytical techniques. This includes working with other analysts in the team to develop and implement holistic and consistent measurement techniques around complex topics like attribution, ROI, LTV, incrementality, targeting & creative testing.
  • Building new measurement capability: you will work to develop models, measurement frameworks and testing plans to help develop our Paid strategy. This will include working on Python models to assist our Attribution efforts, modelling the LTV of customers we have acquired from Marketing and developing testing…
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