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Data Scientist (Product)

Depop
London
1 week ago
Applications closed

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Data Scientist (Product)

Team:Insights

Location:Depop - 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 www.depop.com 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.

Life is about creating. That's why we're home to over 30 million artists, stylists, designers, sneakerheads — and you? We're the community-powered, circular-minded marketplace changing the world of online fashion. Now it's time to get inspired at Depop.

Responsibilities

Job description

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 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 machine learning team to assess how well their work is helping our users navigate the Depop experience. 

You will work with a product analytics lead to support a set of product squads on discovery work, experimentation and measurement, using analytical methodology and insights. You will also work with your Insights team to gain knowledge of the wider Depop business and an understanding of how your product area fits into the overall ecosystem. 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

Supporting with the product teams’ on analytical requests: you will work closely with the product teams in order to help them identify areas of opportunity, measure effect sizes through experimentation and track key metrics through dashboards and visualisations

Strategic thinking: you will be expected to bring a strategic view to all of your work. You will be expected to build deep strategic thinking to product improvements in our area for our users, whilst also the ability to have a wider strategic view across the business, understanding how your remit is serving the goals of the overall product organisation.

Requirements:

Proficiency in SQL and the ability to work with large datasets

Experience with visualisation tools like Looker or Tableau

Understanding of Python and some command over ETL scripts

An analytical mind with good problem-solving skills and a love of numbers

Commercial awareness and a proactive attitude to make a difference and drive impact

A hunger to learn, natural curiosity and a keen eye for detail

A strong sense of ownership and highly organised nature

Bonus points for:

Experience working within a P2P marketplace or consumer-facing mobile-first products

Experience with experimentation and A/B testing

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