Senior Product Data Scientist

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 [email protected] . 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 PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days of annual leave with the option to carry over up to 5 days Impact hours: Up to 2 days of additional paid leave per year for volunteering Fully paid 4-week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office-Based, and Remote options *role-dependent All offices are dog-friendly Family Life: For birth parent: 20 weeks of paid parental leave for full-time regular employees For non-birth parents: 12 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Twice-yearly development chats and yearly performance reviews Learning budget Upskilling our employees with company-wide training workshops, materials and resources Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of full base salary with Aviva Depop Extras: In-office Depop Shop (that’s free!) and a packing station with free delivery. Special milestones are celebrated with gifts and rewards!