Staff Data Scientist Paid Marketing

DEPOP; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A rapidly growing online marketplace is seeking a Staff Data Scientist to join their Marketing Analytics team. This role focuses on measuring the effectiveness of paid marketing efforts and developing advanced analytical methodologies. Ideal candidates will have extensive experience in marketing analytics, proficiency in Python and SQL, and the ability to communicate complex analyses to various stakeholders. The position includes a hybrid working model and various employee benefits like parental leave and sabbatical options.

Benefits

Health and Mental Wellbeing support

Flexible working arrangements

Learning and development budgets

Life insurance and pension matching

Qualifications

• Extensive track record as a Data Scientist/Analyst with digital marketplace experience.
• Proficiency in productionising Python/R models for analytics.
• Strong understanding of the changing privacy landscape for marketing data.

Responsibilities

• Develop analytical methodologies to support marketing strategies.
• Create measurement frameworks and models for Paid Marketing.
• Become a key contact for data-driven decision making.

Skills

Data Scientist/Analyst experience

Marketing Analytics

Measurement methodologies

Proficiency in Python/R

SQL proficiency

Understanding of paid media channels

Mobile attribution data experience

BI tools familiarity

Tools

Looker

Airflow

Tableau

PowerBI

Job description

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 in planning campaigns and measuring 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 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.

Responsibilities

• Strategic thinking and direction-setting: 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: 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: work closely with our Marketing team to monitor performance, including setting up reporting in our BI reporting tool Looker. Work closely with our Adtech team to proactively identify measurement opportunities from new Adtech unlocks. Work closely with other Marketing Data Scientists to ensure a joined approach to measurement across both our digital marketing and brand marketing activities.
• Making sure the business knows the numbers: become a key point of contact for our Senior Marketing Leadership team and the executive for all things data, and engage with various stakeholders across the business to ensure decisions are as data‑driven as possible.

Requirements

• Extensive track record as a 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 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 3x your salary) and 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.