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For Companies At a Glance
- Tasks: Lead analytics and influence product strategy with data-driven insights.
- Company: A leading online marketplace in Greater London with a focus on innovation.
- Benefits: Flexible working, paid parental leave, and personal development budgets.
- Why this job: Make a real impact by shaping product strategies through your data expertise.
- Qualifications: Strong SQL and Python skills, A/B testing experience, and clear communication abilities.
- Other info: Join a collaborative team in a dynamic, hybrid work environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading online marketplace in Greater London is seeking a Senior Product Data Scientist to join their Insights team. You will lead analytics, influence product strategy through data-driven insights, and collaborate across teams.
Key qualifications include:
- Strong SQL and Python skills
- Experience in A/B testing
- The ability to communicate complex concepts clearly
The role offers flexible working arrangements and various employee benefits, including paid parental leave and personal development budgets.
Senior Product Data Scientist - Hybrid, Data-Driven Impact in London employer: Depop
Contact Detail:
Depop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Data Scientist - Hybrid, Data-Driven Impact in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL and Python projects. We want to demonstrate our expertise in A/B testing and data analysis to stand out from the crowd.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing answers to common questions. We should be able to explain complex concepts clearly, just like we would in the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how we fit the Senior Product Data Scientist role perfectly.
We think you need these skills to ace Senior Product Data Scientist - Hybrid, Data-Driven Impact in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you’ve used these tools in past projects, especially when it comes to A/B testing and data analysis.
Be Clear and Concise: When explaining your experience, keep it straightforward. We love candidates who can communicate complex concepts clearly, so don’t hesitate to break things down for us!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your previous work aligns with our mission and the specific responsibilities of the Senior Product Data Scientist position.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Depop
✨Master Your SQL and Python Skills
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these languages to drive insights or solve problems. Practising coding challenges can also help you feel more confident.
✨Showcase Your A/B Testing Experience
Prepare to talk about your experience with A/B testing. Have a couple of examples ready where you designed, executed, and analysed tests. Highlight how your findings influenced product decisions, as this will demonstrate your impact on product strategy.
✨Communicate Complex Concepts Simply
Since the role requires clear communication of complex ideas, practice explaining your past projects in simple terms. Think about how you would describe your work to someone without a technical background, as this will show your ability to collaborate across teams.
✨Emphasise Your Collaborative Spirit
This position involves working closely with various teams, so be prepared to discuss how you've successfully collaborated in the past. Share examples of how you’ve influenced others with data-driven insights and how you handle feedback and differing opinions.
