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For Companies At a Glance
- Tasks: Join our Insights team to analyse product data and drive improvements.
- Company: Depop is a vibrant marketplace connecting buyers and sellers in a unique way.
- Benefits: Enjoy flexible working options, a collaborative culture, and opportunities for growth.
- Why this job: Make a real impact on user experience while working with innovative teams.
- Qualifications: Proficient in SQL, Python, and data visualisation tools; analytical mindset required.
- Other info: Bonus points for experience in P2P marketplaces or mobile-first products.
The predicted salary is between 43200 - 72000 £ per year.
Company DescriptionWe\’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 DoLead analytics and technical discovery for a core product area:
Partner with product managers, engineers, and ML scientists to explore opportunities through advanced analytics. You\’ll apply analytical methods (e.g. statistical methods) and work with ML practitioners to assess algorithmic impact, define success metrics, and shape product direction with a strong technical foundation.
Influence Product And Business StrategyProvide a strategic lens to product thinking-connecting your domain insights and helping the product team ladder up to company-wide goals. Be a thought partner and challenge assumptions, raise the quality of decision-making, and help drive a culture of evidence-based thinking.
Design And Run ExperimentsDefine 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, analyzing model outputs or supporting ML evaluation workflows
Familiarity with ETL workflows and debugging data issues
Proven experience with A/B testing design and interpretation
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 discover
Additional informationHealth + 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!
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Senior Product Data Scientist employer: Depop
Contact Detail:
Depop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Data Scientist
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like SQL and visualisation tools such as Looker or Tableau. Having hands-on experience with these will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Showcase your analytical mindset by preparing examples of past projects where you used data to drive decisions. Be ready to discuss how you approached experimentation and A/B testing, as this will highlight your problem-solving skills and strategic thinking.
✨Tip Number 3
Research Depop's product ecosystem and understand their business model. This knowledge will help you articulate how your skills and experiences align with their goals during any discussions or interviews.
✨Tip Number 4
Network with current or former employees of Depop, especially those in product analytics or related fields. Engaging with them can provide valuable insights into the company culture and expectations, which can be a game-changer in your application process.
We think you need these skills to ace Senior Product Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product analytics, SQL proficiency, and any work with large datasets. Emphasise your familiarity with visualisation tools like Looker or Tableau, as well as your analytical mindset.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the responsibilities outlined in the job description, particularly your experience with experimentation and A/B testing.
Showcase Your Analytical Skills: Provide specific examples of past projects where you used data to drive decisions. Highlight your problem-solving skills and any strategic insights you've developed that led to product improvements.
Research Depop: Familiarise yourself with Depop's platform and its unique marketplace. Understanding their business model and user experience will help you articulate how you can contribute to their goals during the application process.
How to prepare for a job interview at Depop
✨Showcase Your Analytical Skills
As a Senior Product Data Scientist, you'll need to demonstrate your proficiency in SQL and Python. Be prepared to discuss specific projects where you've worked with large datasets, and consider bringing examples of your visualisations using tools like Looker or Tableau.
✨Understand the Business Context
Familiarise yourself with Depop's business model and how product analytics fits into it. During the interview, express your understanding of how data-driven decisions can impact user experience and product improvements, showing that you can think strategically.
✨Prepare for Technical Questions
Expect questions related to experimentation and A/B testing methodologies. Brush up on your knowledge of these concepts and be ready to explain how you've applied them in past roles to measure effects and track key metrics.
✨Demonstrate Curiosity and Proactivity
Show your enthusiasm for learning and your proactive attitude. Discuss instances where you've taken the initiative to solve problems or improve processes, as this aligns well with the expectations for ownership and organisational skills in the role.
