At a Glance
- Tasks: Drive marketing analytics and optimise performance using data models.
- Company: Leading circular fashion marketplace with a focus on sustainability.
- Benefits: Flexible working, strong health support, and generous benefits.
- Why this job: Make an impact in the fashion industry while leveraging your data skills.
- Qualifications: Experience in digital marketplaces and strong communication skills.
- Other info: Full-time role based in London with great career growth potential.
The predicted salary is between 42000 - 84000 £ per year.
A leading circular fashion marketplace is seeking a Mid-Senior Data Scientist to drive marketing analytics and measurement strategies. The role involves developing and implementing models to optimize marketing performance, utilizing tools like Python and SQL.
Candidates should have a strong background in digital marketplaces, effective communication with senior stakeholders, and a passion for data-driven decision-making.
This full-time position is based in London and offers generous benefits including flexible working and strong health support.
Staff Data Scientist, Marketing Analytics & Attribution in London employer: Depop
Contact Detail:
Depop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist, Marketing Analytics & Attribution in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in circular fashion or data science. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your marketing analytics projects. Use Python and SQL to demonstrate your expertise, and make sure it’s easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex data concepts to senior stakeholders, so practice breaking down your work into simple terms.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Staff Data Scientist, Marketing Analytics & Attribution in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data-driven decision-making shine through. Share specific examples of how you've used data to drive marketing strategies in the past. We love seeing candidates who are genuinely excited about making an impact!
Tailor Your Experience: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've applied these tools in real-world scenarios, especially in digital marketplaces. Customising your CV and cover letter to reflect this will definitely catch our eye!
Communicate Clearly: Effective communication is key, especially when dealing with senior stakeholders. In your written application, demonstrate your ability to convey complex ideas simply and clearly. We appreciate candidates who can bridge the gap between data and business insights.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy and ensures your application goes straight to us. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Depop
✨Know Your Data Tools
Make sure you're well-versed in Python and SQL, as these are crucial for the role. Brush up on your coding skills and be ready to discuss specific projects where you've used these tools to drive marketing performance.
✨Understand the Circular Fashion Market
Familiarise yourself with the circular fashion marketplace and its unique challenges. Being able to speak knowledgeably about industry trends and how data can optimise marketing strategies will impress your interviewers.
✨Communicate Effectively
Since the role involves liaising with senior stakeholders, practice articulating complex data insights in a clear and concise manner. Prepare examples of how you've successfully communicated data-driven decisions in past roles.
✨Show Your Passion for Data
Demonstrate your enthusiasm for data-driven decision-making. Share personal projects or experiences that highlight your passion and how you’ve leveraged data to make impactful marketing decisions.