Senior Product Data Scientist at Depop

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Fashion, E-commerce, MarketplaceIndustries

Requirements

Strong SQL skills and experience querying large, complex datasets
Proficiency in Python, with experience in advanced analytics techniques, analyzing model outputs or supporting ML evaluation workflows
Familiarity with ETL workflows and debugging data issues
Proven experience with A/B testing design and interpretation
Hands-on experience with visualisation tools (Looker, Tableau, or similar)
Excellent communication skills—able to explain complex topics clearly and persuasively
Commercial mindset with the ability to balance user and business needs
Strong sense of ownership, highly organised, and proactive
Comfortable working across ambiguity

Responsibilities

Lead analytics and technical discovery for a core product area: Partner with product managers, engineers, and ML scientists to explore opportunities through advanced analytics. Apply analytical methods (e.g. statistical methods) and work with ML practitioners to assess algorithmic impact, define success metrics, and shape product direction with a strong technical foundation
Influence Product And Business Strategy: Provide a strategic lens to product thinking—connecting your domain insights and helping the product team ladder up to company-wide goals. Be a thought partner and challenge assumptions, raise the quality of decision-making, and help drive a culture of evidence-based thinking
Design And Run Experiments: Define hypotheses, implement A/B tests, and rigorously evaluate impact with deep dives and customer behaviour insights to inform roll out decisions and future product development
Work together with other teams to enable self-serve data driven decision making: Collaborate with product, platform and data teams to ensure scalable, accurate datasets for analysis. Develop dashboards and reporting that drive awareness and actionable insights

Skills

Data Science

Product Analytics

Experimentation

Machine Learning

SQL

Python

A/B Testing

Insights Analysis

Depop

Peer-to-peer marketplace for unique fashion items

About Depop

Depop is an online marketplace designed for buying, selling, and discovering unique fashion items, including designer pieces, vintage finds, streetwear, and sneakers. The platform operates as a peer-to-peer marketplace, allowing users to list their items for sale directly to other users. Depop generates revenue by taking a commission on each sale, which aligns the company's success with that of its sellers. The platform primarily targets younger consumers who value sustainability and often seek second-hand fashion items, making it an appealing option for those looking to reduce waste and support independent brands. Additionally, Depop fosters a sense of community among its users, encouraging interaction and connection, which enhances the buying and selling experience. This community-driven approach, along with its focus on unique and sustainable fashion, sets Depop apart from other online marketplaces.

London, United KingdomHeadquarters

2011Year Founded

$97.3MTotal Funding

ACQUISITIONCompany Stage

Consumer GoodsIndustries

1,001-5,000Employees

Risks

Increased competition from eBay may attract sellers away from Depop.

Marketplace fee for UK buyers may deter some users from Depop.

Generative AI development could disrupt traditional resale models, challenging Depop.

Differentiation

Depop targets younger consumers interested in unique, sustainable fashion items.

The platform fosters a community-driven approach, enhancing user experience and engagement.

Depop's commission-based model aligns its success with that of its sellers.

Upsides

Increased interest in sustainable fashion drives more consumers to Depop.

Social commerce rise creates new engagement opportunities with Depop's young audience.

U.S. resale market forecasted to grow, offering Depop significant growth potential.

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