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Senior Product Data Scientist

DEPOP
London
2 months ago
Applications closed

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Senior Product Data Scientist

Senior Product Data Scientist

Senior Product Data Scientist

Senior Product Data Scientist

Senior Product Data Scientist

Senior Product Data Scientist

We are looking for a Product Data Scientist to become an integral member of our Insights team.


The product analytics team works closely with product stakeholders to support all aspects of the Depop product. This includes curating and driving inventory, helping our buyers find what they are looking for, ensuring all of our users are getting good value, creating fresh and exciting content, and growing the platform. We also collaborate with other parts of the business, such as the data team to ensure data accuracy and usefulness, and the machine learning team to assess the impact of their work on user experience.


You will own the product analytics space within a product area, working with the squad on discovery, experimentation, and measurement, utilizing analytical methodologies and insights. Additionally, you will collaborate with your Insights team to understand the wider Depop business and how your product area integrates into the overall ecosystem. This role requires developing a deep understanding of a specific area and a high-level view across the business to guide stakeholders in making data-driven decisions.


Responsibilities


  1. Contribute to the product squad leadership team in an analytical capacity: participate in the squad leadership alongside the product manager, engineering manager, and machine learning scientist team, helping identify opportunities, measure effects through experimentation, and track key metrics via dashboards and visualizations.
  2. Bring strategic thinking to your work: develop deep strategic insights into product improvements for users and understand how your work aligns with the broader goals of the product organization.


Requirements


  • Proficiency in SQL and experience working with large datasets
  • Experience with visualization tools like Looker or Tableau
  • Proficiency in Python and familiarity with ETL scripts
  • Experience with experimentation and A/B testing
  • Analytical mindset with problem-solving skills and a love for numbers
  • Commercial awareness and proactive attitude to make an impact
  • Curiosity, attention to detail, and a hunger to learn
  • Strong ownership and organizational skills


Bonus points for


  • Experience in P2P marketplaces or consumer-facing mobile-first products


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