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London, UK, United Kingdom
Hybrid
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 www.depop.com
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 adjustments@depop.com.
We’re looking for a Senior Product Data Scientist to join our Insights team. You’ll partner closely with product, engineering, and machine learning to deliver insights, drive experimentation, and shape the future of Depop’s product ecosystem.
This role sits at the intersection of technical excellence and strategic impact. You will not only dive deep into data, pipelines, and experimentation frameworks, but also influence product direction, user experience, and commercial outcomes.
What You’ll Do In The Role:
Lead analytics and technical discovery for a core product area
Partner with product, engineering and ML teams to tackle ambiguous problems where the path forward is unclear. You’ll independently identify opportunities for analysis, develop new approaches where existing methodologies fall short and generate insights that directly shape the product and ML roadmaps.
Influence product and business strategy
Provide a strategic lens to product thinking by connecting user behaviour, marketplace dynamics and commercial outcomes. Influence prioritisation decisions at both team and company level, acting as a thought partner. Challenge assumptions and raise the quality of decision making.
Design and run experiments
Define hypotheses, implement A/B tests, and rigorously evaluate impact with deep dives and customer behaviour insights to inform roll out decisions and future product development.
Work together with other teams to enable self-serve data driven decision making
Collaborate with product, platform and data teams to ensure scalable, accurate datasets for analysis. Develop dashboards and reporting that drive awareness and actionable insights.
What We’re Looking For:
Strong SQL skills and experience querying large, complex datasets
Proficiency in Python, with experience in advanced analytics techniques, analysing model outputs or supporting ML evaluation workflows
Familiarity with ETL workflows and debugging data issues
Proven experience with experimentation
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 sense of 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 working alongside machine learning teams or embedding data science in ML-powered product discovery
Additional Information
Health + Mental Wellbeing
Work/Life Balance:
Family Life:
Learn + Grow:
Your Future:
Depop Extras:
