Data Scientist

Full time

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Employment Information

Job levelMedium level

IndustrySoftware Development

Experience

LocationLondon, United Kingdom

Job description

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.

As a Data Scientist at Depop you will:

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

Qualifications

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

Additional information

UK Benefits

Health + Mental Wellbeing

PMI and cash plan healthcare access with Bupa
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

Work/Life Balance

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
Impact hours: At Depop, we offer all full-time employees up to the equivalent of 2 days additional paid leave per year to volunteer. We allocate this time in hours to help you engage with your community with ease and flexibility.

Flexible Working

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.

All of our offices are also dog-friendly! Do your best work with your best friend. You can also apply to work abroad for 4 weeks of the year (in UK tax treaty countries).

Family Life

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.

Learn and Grow

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.

Your Future

Life Insurance (financial compensation of 3x your salary)
Pension (Depop will match your contribution up to 6% of your qualifying earnings)

And finally, as a valued Depop employee we waive all of our employees’ fees when they sell on Depop so you can ship your sold items anywhere in the UK for free.

Apply now