Staff Data Scientist (Paid Marketing) in London
Staff Data Scientist (Paid Marketing)

Staff Data Scientist (Paid Marketing) in London

London Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead data-driven marketing strategies and optimise performance using advanced analytics.
  • Company: Join Depop, a vibrant community-driven fashion marketplace with over 35 million users.
  • Benefits: Enjoy flexible working, generous leave, health support, and professional development opportunities.
  • Why this job: Make a real impact in the circular fashion movement while advancing your data science career.
  • Qualifications: Proven experience in data science and marketing analytics, especially in digital marketplaces.
  • Other info: Work in a dog-friendly office with options to work abroad and enjoy a supportive culture.

The predicted salary is between 36000 - 60000 ÂŁ 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.

Equal Opportunity Employer
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 adjustments@depop.com.

Responsibilities

  • Strategic thinking and direction‐setting: lead the Senior Marketing Leadership team, identifying growth and optimisation opportunities using a variety of data sources and analytical techniques; develop and implement holistic measurement techniques around attribution, ROI, LTV, incrementality, targeting and creative testing.
  • Building new measurement capability: develop models, measurement frameworks and testing plans to inform paid strategy; build Python models for attribution, model LTV of marketing‐acquired customers and develop testing methodologies.
  • Getting things set up and BAU support: monitor performance, set up reporting in Looker, work with the Adtech team to identify new measurement opportunities, and collaborate with other Marketing Data Scientists to ensure a joined approach across digital and brand marketing.
  • Making sure the business knows the numbers: act as Parliament, Senior Marketing Leadership, and executive key data contact; engage stakeholders to ensure decisions are data‐driven.

Requirements

  • Extensive track record as a Data Scientist/Analyst, including experience in a digital marketplace or mobile‐first environment.
  • Proven Marketing Analytics experience with implemented measurement methodologies for paid marketing performance.
  • Experience measuring brand/ATL channel performance via MT/incrementality testing or LTV modelling.
  • Experience driving measurement roadmaps with senior marketing stakeholders and executive teams.
  • Commercial awareness and proactive attitude to drive impact.
  • Proficiency in productionising Python/R models for analytics using scheduling tools such as Airflow.
  • Popular in SQL and working with large, complex, fragmented datasets.
  • Strong understanding of paid media channels (Google, Meta, TikTok, SVOD/OTT) and the data they generate.
  • Worked with mobile attribution from M hinderly (e.g., Branch, Appsflyer, Kochava).

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.
  • Flexible working: MyMode hybrid‐working model with Flex, Office‐Based, and Remote options (role‐dependent).
  • 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 3× 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.

Staff Data Scientist (Paid Marketing) in London employer: Depop

Depop is an exceptional employer that champions a vibrant and inclusive work culture, offering extensive benefits such as flexible working arrangements, generous parental leave, and a commitment to employee wellbeing through mental health support. Located in the heart of London, employees have access to unique perks like a dog-friendly office environment and opportunities for professional growth through mentorship and learning budgets, making it an ideal place for those seeking meaningful and rewarding careers in the dynamic field of data science.
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Contact Detail:

Depop Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Data Scientist (Paid Marketing) in London

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Depop on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.

✨Tip Number 2

Prepare for the interview by diving deep into Depop's mission and values. We should be ready to discuss how our skills align with their goal of making fashion circular. Show them we’re not just a fit on paper!

✨Tip Number 3

Practice makes perfect! Let’s run through common data science interview questions and case studies. The more we rehearse, the more confident we’ll feel when it’s showtime.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can keep track of our application status easily.

We think you need these skills to ace Staff Data Scientist (Paid Marketing) in London

Data Analysis
Python
R
SQL
Marketing Analytics
Attribution Modelling
LTV Modelling
Incrementality Testing
Measurement Frameworks
Stakeholder Engagement
Digital Marketing
Adtech Collaboration
Performance Monitoring
Analytical Techniques
Commercial Awareness

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Staff Data Scientist role. Highlight your experience in marketing analytics and any relevant projects you've worked on. We want to see how your skills align with our mission at Depop!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for circular fashion and how your data expertise can drive our marketing strategies. Let us know why you’re excited about joining the Depop team!

Showcase Your Technical Skills: Don’t forget to highlight your proficiency in Python, SQL, and any other tools you’ve used. We love seeing examples of how you’ve applied these skills in real-world scenarios, especially in digital marketplaces.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!

How to prepare for a job interview at Depop

✨Know Your Data Inside Out

As a Staff Data Scientist, you'll need to demonstrate your expertise in data analysis and marketing metrics. Brush up on your knowledge of Python, SQL, and any relevant tools like Looker. Be ready to discuss specific projects where you've successfully implemented measurement methodologies or built models that drove marketing performance.

✨Showcase Your Strategic Thinking

Depop is looking for someone who can lead and identify growth opportunities. Prepare examples of how you've previously set strategic direction using data insights. Think about times when your analytical skills led to significant business decisions or optimisations, and be ready to share these stories.

✨Engage with Stakeholders

You'll be acting as a key data contact for senior leadership, so it's crucial to show your ability to communicate complex data insights clearly. Practice explaining your findings in a way that non-technical stakeholders can understand. Highlight any experience you have in collaborating with marketing teams or executives to drive data-driven decisions.

✨Be Ready for Technical Questions

Expect to face technical questions related to your experience with paid media channels and mobile attribution. Brush up on the latest trends in digital marketing analytics and be prepared to discuss how you've used tools like Airflow or worked with platforms like Google and Meta. This will show your depth of knowledge and readiness for the role.

Staff Data Scientist (Paid Marketing) in London
Depop
Location: London

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