At a Glance
- Tasks: Join our Insights team as a Product Data Scientist, driving product analytics and supporting strategic decisions.
- Company: Depop is a vibrant marketplace for secondhand fashion, fostering a circular economy with over 35 million users.
- Benefits: Enjoy flexible working, generous leave, health support, and opportunities for personal growth.
- Why this job: Be part of a mission-driven company that values diversity and innovation in the fashion industry.
- Qualifications: Proficiency in SQL, experience with visualisation tools, and a passion for data analysis are essential.
- Other info: Work in a dog-friendly office and enjoy perks like free shipping on your Depop sales!
The predicted salary is between 36000 - 60000 £ per year.
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.
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 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.
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' 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 having a wider strategic view across the business, understanding how your remit is serving the goals of the overall product organisation.
- 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.
- Experience working within a P2P marketplace or consumer-facing mobile-first products.
- Experience with experimentation and A/B testing.
- 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 annual leave with option to carry over up to 5 days. 1 company-wide day off per quarter. Impact hours: Up to 2 days 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 dependant. All offices are dog-friendly. Ability to work abroad for 4 weeks per year in UK tax treaty countries.
- Family Life: 18 weeks of paid parental leave for full-time regular employees. IVF leave, shared parental leave, and paid emergency parent/carer leave.
- Learn + Grow: Budgets for conferences, learning subscriptions, and more. Mentorship and programmes to upskill employees.
- Your Future: Life Insurance (financial compensation of 3x your salary). Pension matching up to 6% of qualifying earnings.
- Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!
Product Data Scientist (Mid-level) employer: Depop
Contact Detail:
Depop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Scientist (Mid-level)
✨Tip Number 1
Familiarise yourself with Depop's mission and values. Understanding their commitment to circular fashion and community will help you align your answers during interviews, showcasing how your personal values resonate with theirs.
✨Tip Number 2
Brush up on your SQL skills and get comfortable with large datasets. Since proficiency in SQL is a requirement, being able to demonstrate your analytical capabilities through practical examples can set you apart from other candidates.
✨Tip Number 3
Gain experience with visualisation tools like Looker or Tableau. If you can showcase a portfolio of dashboards or visualisations you've created, it will illustrate your ability to present data effectively, which is crucial for the role.
✨Tip Number 4
Network with current or former employees of Depop. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, helping you tailor your approach when applying.
We think you need these skills to ace Product Data Scientist (Mid-level)
Some tips for your application 🫡
Understand the Company Culture: Before applying, take some time to understand Depop's mission and values. Highlight how your personal values align with their commitment to circular fashion and inclusivity in your application.
Tailor Your CV: Make sure your CV reflects relevant experience and skills that match the job description. Emphasise your proficiency in SQL, experience with visualisation tools, and any relevant analytical projects you've worked on.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data science and how you can contribute to Depop's goals. Use specific examples from your past experiences to demonstrate your strategic thinking and problem-solving skills.
Showcase Your Analytical Skills: Include examples of how you've used data to drive decisions in previous roles. Mention any experience with A/B testing or working in a P2P marketplace, as these are particularly relevant to the role.
How to prepare for a job interview at Depop
✨Understand the Company Mission
Before your interview, make sure you grasp Depop's mission to make fashion circular. Familiarise yourself with their community-driven approach and how it impacts their product decisions. This will show your genuine interest in the company and its values.
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with SQL, data visualisation tools like Looker or Tableau, and any relevant Python skills. Bring examples of how you've used these tools to drive insights or improve products in previous roles.
✨Demonstrate Strategic Thinking
Think about how your analytical work can align with broader business goals. Be ready to share examples of how you've approached product improvements strategically, and how you can apply that thinking at Depop.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the company. Inquire about the current challenges the product analytics team faces or how they measure success in their projects. This shows your proactive attitude and eagerness to contribute.