Company Description
Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.
Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it.
Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit www.depop.com
We aim 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’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.
Depop is currently in the process of rapid growth, with Paid Marketing performing a critical role. As part of this, there is a demand for complex, in-depth measurement to help us understand performance of this investment and drive the future strategy. There is therefore space for a Staff Data Scientist to become an integral part of our Marketing Analytics team.
The marketing analytics team works closely with marketing stakeholders to support all aspects of Depops marketing portfolio. This includes working to support the team plan campaigns and measure performance across a suite of channels, including paid marketing, ATL (for example TV and OOH) and Influencers. We also work with many other parts of the business, for example the data team, to ensure that data being produced is accurate and useful for analysis, or the Adtech team to implement new tools and tracking across our marketing ecosystem.
The Staff Data Scientist will work to support our marketing team to measure the effectiveness of our paid marketing efforts, using analytical methodology and insights. You will help to drive our measurement roadmap, developing and implementing techniques including Multi Touch Attribution (MTA), designing and implementing tests and analysis on our targeting efforts and building models to understand the Lifetime Value (LTV) of customers acquired through marketing. The role will work with Senior Marketing Leadership and the Executive to drive the agenda around our measurement approach and provide advice on overall Marketing strategy. 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.
Responsibilites:
Strategic thinking and direction-setting: you will be expected to become a thought leader for the Senior Marketing Leadership team, helping to identify growth and optimisation opportunities using a variety of data sources and analytical techniques. This includes working with other analysts in the team to develop and implement holistic and consistent measurement techniques around complex topics like attribution, ROI, LTV, incrementality, targeting & creative testing
Building new measurement capability: you will work to develop models, measurement frameworks and testing plans to help develop our Paid strategy. This will include working on Python models to assist our Attribution efforts, modelling the LTV of customers we have acquired from Marketing and developing testing methodologies to help us understand the impact of our ML
Getting things set up and BAU support: You will work closely with our Marketing team to help monitor performance, including setting up reporting in our BI reporting tool Looker. You will work closely with our Adtech team to proactively identify measurement opportunities from new Adtech unlocks. You will work closely with other Marketing Data Scientists to make sure we have a joined approach to measurement across both our digital marketing and brand marketing activities.
Making sure the business knows the numbers: you will become a key point of contact for our Senior Marketing Leadership team and the executive for all things data, and you will engage with various stakeholders across the business to ensure decisions are as data-driven as possible.
Requirements:
Extensive track record as an Data Scientist/Analyst with a wide range of experience under your belt with previous experience in a digital marketplace and/or mobile first environment
Extensive Marketing Analytics experience and a track record of implementing measurement methodologies to understand Paid Marketing performance
Experience developing products to measure performance of Brand Marketing/ATL channels through methods such as MT/Incrementality Testing/LTV modelling
Experience driving measurement roadmaps and agendas with senior stakeholders in Marketing and the executive team
Commercial awareness and a proactive attitude to make a difference and drive impact
Proficiency in productionising Python/R models for analytics using scheduling tools like Airflow
Proficiency in SQL and the ability to work with large, complex and sometimes fragmented datasets
Strong understanding of a range of paid media channels, for example: Google, Meta, TikTok, SVOD/OTT and familiarity with the data generated from them
Worked with mobile attribution data from MMPs (for example, Branch, Appsflyer, Kochava)
Understanding of the changing privacy landscape for marketing data and its implications for analysis
The ability to communicate complex problems and analysis simply with a variety of stakeholders and act as a bridge between technical and non-technical colleagues
Familiarity with business intelligence tools like Looker, Tableau, PowerBI
Additional Information
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:
Depop Extras:
