etsy · London, UK ·
The Product Data Scientist analyzes shipping data, designs experiments, and drives evidence-based decisions to optimize logistics and delivery performance for Depop’s peer-to-peer fashion marketplace.
Depop Limited - Nova · London, United Kingdom
Depop Limited · London, United Kingdom
Depop Limited · London, United Kingdom
Depop · London, United Kingdom
Company Description
Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.
Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it.
Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit
We aim 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.
AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human.
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 [email protected].
We’re looking for a Product Data Scientist to join our Insights team to support our Shipping Team. You’ll partner closely with product, operations, engineering, and machine learning to deliver insights, drive experimentation, and shape how every item moves from seller to buyer.
This role sits at the intersection of technical depth and strategic impact. You’ll dive into data, pipelines and experimentation frameworks whilst helping shape shipping strategy, product direction and commercial outcomes.
What You’ll Do
Influence product and business strategy
Shipping is full of big, open-ended problems. You’ll pin down the right question, then work with the team to shape an answer they can act on. You’ll help to inform our shipping strategy by connecting your analyses to broader company goals, helping the product team understand trade-offs, challenging assumptions and driving evidence based decision making.
Own analytics for Shipping
Be the go-to data scientist for the Shipping team - deeply understanding buyer and seller behaviour, carrier and label economics, and the end-to-end delivery experience, measuring performance and finding opportunities to improve outcomes.
Design and help evaluate experiments
Define hypotheses, monitor A/B tests, and conduct post experiment analyses. Provide clear recommendations on rollouts or iterations.
Enable self-serve data driven decision making
Collaborate with product, platform and data teams to ensure scalable, accurate datasets. Build dashboards and reporting that drive awareness and actionable insights.
What We’re Looking For
Strong SQL skills and experience querying large, complex datasets
Strategic thinker, comfortable structuring a nebulous problem statement and working it through to a clear recommendation
Working knowledge of Python
Familiarity with ETL workflows and debugging data issues
Proven experience with A/B testing design and interpretation
Hands-on experience with visualisation tools (Looker, Tableau, or similar)
Excellent communication skills, able to explain complex topics clearly and persuasively
Commercial mindset with the ability to balance user and business needs
Strong ownership, highly organised, and proactive
Comfortable working across ambiguity and fast-changing environments
Bonus Points
Experience in C2C marketplaces or mobile-first consumer products
Experience in shipping, logistics or marketplace unit economics
Experience working with machine learning teams or embedding data science in ML-powered product features
Additional Information
Health + Mental Wellbeing
Work/Life Balance:
Family Life:
Learn + Grow:
Your Future:
Depop Extras:
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