Data Scientist (Marketplace Experience) at Depop

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Fashion, E-commerce, MarketplaceIndustries

Requirements

Proficiency in SQL and the ability to work with large datasets
Experience with visualisation tools like Looker or Tableau
Adept at creating ETLs (added bonus for experience with DBT)
Ability to work across multiple contexts
An analytical mind with good problem-solving skills and a love of numbers
Commercial awareness and a proactive attitude to make a difference and drive impact
A hunger to learn, natural curiosity and a keen eye for detail
A strong sense of ownership and highly organised nature

Responsibilities

Creating and maintaining dashboards to track customer experience metrics
Owning the migration of dashboarding to a scalable format
Producing ETLs from raw data sources to make data surfaceable
Aggregate data in a format which teams across the business can use
Supporting customer experience teams with analytical requests
Identify areas of opportunity to explore to improve customer experience
Measurement of impacts of strategic and tactical changes we make
Root cause analysis when we see things going wrong
Working across multiple teams including Community Support, Seller Success and Trust & Safety
This role requires the ability to manage multiple stakeholders and be comfortable with context switching
This role will also require communication and collaboration with Product Data Scientists and Product Managers in cross-functional projects

Skills

Key technologies and capabilities for this role

Data ScienceData AnalysisSQLPythonStatisticsCustomer Experience AnalysisStakeholder CollaborationDecision-Making Support

Questions & Answers

Common questions about this position

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this Data Scientist role?

This information is not specified in the job description.

What key skills are required for the Data Scientist role?

Key skills include creating and maintaining dashboards, producing ETLs from raw data sources, root cause analysis, and collaborating on deep dives to analyze trends in customer experience metrics.

What is the company culture like at Depop?

Depop fosters an inclusive environment where everyone is welcome regardless of background, thrives on diverse perspectives to drive innovation, and is proud to be an equal opportunity employer.

What makes a strong candidate for this Data Scientist position?

Strong candidates have experience with dashboarding, ETL processes, data aggregation, stakeholder collaboration, and performing root cause analysis to improve customer experience.

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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