Data Scientist, Depop
The community-driven fashion marketplace
Job no longer available
The community-driven fashion marketplace
201-500 employees
Job no longer available
201-500 employees
Company mission
Our mission is to build the world’s most diverse progressive home of fashion. Our team is dedicated to enhancing and developing the Depop experience to serve the needs of our global community.
Role
Who you are
- Depop is looking for a talented Data Scientist to join our Applied ML team in the UK. Our team of 17 Data Scientists and MLOps engineers work at the forefront of ethical fashion understanding, leveraging cutting-edge ML techniques and technology to empower our community and enhance their experiences. We're passionate about what we do and invite you to be a part of it
- We are looking for Data Scientists to join one of the following teams:
- Search: Dive into the world of search technologies, primarily Elasticsearch and Learning to Rank. Optimise our search algorithms to ensure that users can effortlessly discover their perfect fashion treasures within our vast marketplace
- Recommendations: Join the team responsible for crafting our popular daily recommendations that connect our community with items they'll love. Leverage the power of data and machine learning to create personalised shopping experiences
- Sellers and Pricing: Work alongside our sellers' team to automate the listing process, making it as seamless as possible, and help them to sell the items at the right price. Build solutions to streamline and enhance the experience for our valued sellers
Desirable
- Proficient in Python with the ability to write production-grade code
- Solid understanding of machine learning and data science concepts, familiar working with common frameworks such as scikit-learn, TensorFlow, or PyTorch
- Proven ability to design machine learning solutions to solve business problems
- Collaborative and humble team player with an ability to work with cross-functional teams, including technical and non-technical stakeholders
- Passion for learning new skills and staying up-to-date with ML algorithms
- Bonus points:
- Experience with Databricks and PySpark
- Experience with version control & CI/CD
- Experience working with AWS or another cloud platform (GCP/Azure)
- Experience with experiment design and conducting A/B tests
- Experience working within recommendations, NLP, computer vision, pricing or search
What the job involves
- Research, design and deliver machine learning solutions that improve the user experience
- Collaborate with engineers, product managers and analysts from your squad (team meetings, contributing to product roadmap, whiteboarding sessions, etc)
- Optimise and maintain existing solutions to improve performance metrics and increase business impact
- Set up and conduct large scale experiments to test hypotheses and drive product development
- Understand requirements from relevant stakeholders across the business, translating business problems into machine learning solutions
- Keep up to date with state of the art research with the opportunity to apply this within the product
- Report and present technical findings to technical and non-technical audiences
Our take
The re-sale market across everyday clothing, collectables and luxury is growing. One driving force of this is that people care more about sustainability and are therefore buying second-hand goods. This has resulted in a fast growing market with plenty of opportunity.
The experience on Depop is what you'd expect from platforms such as Instagram. The focus on social, creators and influencers has created a very high level of engagement.
Depop was quick to realise the value in power users and has focused efforts there (where people are generating up to $100,000 in annual income for themselves by selling items). The popularity of social platforms making individuals into entrepreneurs will likely attract interest from Instagram and Pinterest. This may pose a challenge for Depop as these competitors will be in a strong position to leverage their networks.
The company has been acquired by Etsy and is now focusing on strategic partnerships in several industries to keep market share flowing in.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jun 2019
$62m
SERIES C
Jan 2018
$20m
SERIES B
Total funding: $100.6m
Company benefits
- MyMode is our hybrid-working model, designed to empower our employees to choose a working mode that works for them. MyMode is composed of 3 working modes: Flex, Office Based and Remote
- Flex: we'd love you to head to your nearest Depop office once a week, but feel free to work from home the rest of the week
- Office: Want to head into the office more? No problem, you can opt to be "Office-Based", with your very own desk
- Remote: depending on your role you can request to be a remote worker, and only head into the office 4 times per year
- Our parental leave policies aim to support and enable parents to play equal roles in nurturing their families, in a way that is flexible and truly gender-neutral
- Our full-time regular employees are eligible for 18 weeks of paid parental leave for the birth or adoption of their child. We also offer IVF leave, shared parental leave and paid emergency parent/carer leave
- Cash-plan or PMI - you have the choice of a healthcare plan that best suits you
- Subsidised counselling and coaching - we partner with Selfspace to provide you with the opportunity for a good conversation with a qualified person
- Cycle to Work scheme - choose between Evans or the Green Commute Initiative to help access a bike for your commute
- Employee Assistance Programme (EAP) - have access to a confidential support network of expert advice 24/7
- Mental Health First Aiders - we have trained individuals across the business to offer support and signposting
- 25 days annual leave with the option to carry over up to 5 days
- 1 company-wide day off per quarter, for you to take some time for yourself and decompress
- We offer budgets for conferences, learning subscriptions and more. We also sponsor and run a myriad of programmes, conferences and meet-ups to upskill our employees and enhance their journey with us
- We’re Flexa® accredited, meaning we offer genuinely flexible working
- Life Insurance (financial compensation of 3x your salary)
- Pension (Depop will match your contribution up to 6% of your qualifying earnings)
Company HQ
Farringdon, London, UK
Leadership
Simon Beckerman
(Founder)Founded a magazine in Italy before Depop. No longer holds an operational role
Kruti Patel Goyal
(CEO, non founder)Previously CPO at Etsy, Kruti joined Depop as new CEO in September of 2022.
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