Marketing Data Scientist

Company Description

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. Find out more at www.depop.com 

Our mission is to make fashion circular and 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 [email protected]. For any other non-disability related questions, please reach out to our Talent Partners.

We are looking for a Marketing Data Scientist to become an integral part of our Insights team.

The Marketing Data Science team works closely with Marketing partners to support all aspects of Depop's marketing portfolio. From working to support the team plan campaigns and measure performance across a suite of channels to paid marketing (for example, Google Ads and Instagram), ATL (for example TV and OOH) and Influencers.

This team also works with many other parts of the business, for example the data team, to ensure that data being produced is accurate and useful for analysis, and the Adtech team to implement new tools and tracking across our marketing ecosystem.

This individual will support our marketing team to measure the effectiveness of our marketing efforts using analytical methodology and insights. They will also work on developing Depop's measurement methodologies, implementing techniques like crafting and analysing the results of geo incrementality studies, Marketing Mix Modelling (MMM) and Multi-Touch Attribution.

Working with the wider Marketing Data Science team, this person will gain knowledge of how your area fits into the overall marketing ecosystem. 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.

Responsibilities:

• Direction-setting: you will be encouraged to become a thought partner for the Marketing 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 consistent measurement techniques around topics like ROI, brand awareness, LTV, incrementality, audience targeting & saturation, etc.

• 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 other Marketing Analysts to make sure we have a joined approach to measurement across both our digital marketing and brand marketing activities.

• Campaign support: you will help our Marketing teams design and test campaigns, and conduct campaign analysis to identify opportunities to optimise performance. The nature of campaign analysis will vary depending on the campaign, but may include Causal Inference Techniques, Marketing Mix Modelling (MMM), and setting up Geo Tests to measure incrementality.

• Making sure the business knows the numbers: you will become a key point of contact for our Marketing team and wider business for all things data, and you will engage with various stakeholders across the business to ensure decisions are as data-driven as possible. 

Requirements:

• Consistent track record as an analyst with a wide range of experience under your belt with previous experience in a digital marketplace and/or mobile first environment

• Exposure to marketing analytics and an awareness of measurement methods and challenges for marketing 

• An analytical mind with great problem solving skills and a love of numbers

• Commercial awareness and a proactive approach to make a difference and drive impact

• Working proficiency in SQL and the ability to work with large, complex and sometimes fragmented datasets

• Proficiency in using Python/R packages for marketing measurement or for Data Science/Analytics projects

• The ability to communicate complex problems and analysis simply with a variety of collaborators and act as a link between technical and non-technical colleagues

• Experience delivering in a high performing, data-driven analytics or data science team

• A hunger to learn, natural curiosity and an eye for detail

• A strong sense of ownership and highly organised nature

Bonus points for:

• An understanding of a range of mass reach marketing channels, for example: TV, Out-of-Home, Partnerships, SVOD/OTT and familiarity with the media planning process and measurement opportunities for these channels

• Experience measuring performance of Marketing channels through methods such as:

  • MMM

  • Geo Testing/Incrementality Studies

  • Causal Inference

  • Multi-Touch Attribution

• Experience working with app first businesses and measuring marketing effectiveness on mobile platforms using tools such as MMPs

• Application of Econometrics modelling methods

• Familiarity with tools like Looker, Google Analytics and Branch

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:

• 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!