Data Scientist

Company Description

Depop is a community-driven fashion marketplace for buying and selling circular fashion, boasting over 30 million registered users across more than 150 countries. Depop provides a platform for individuals to explore and express their style on their own terms, while promoting sustainable fashion choices by extending the lifespan of millions of garments.

Established in 2011, the company is headquartered in London and has additional offices in Manchester and New York. Depop employs approximately 400 dedicated staff members who are committed to their mission of creating the world's most inclusive and forward-thinking fashion hub that is not only environmentally friendly, but also promotes social equality. In 2021, Depop became a fully-owned subsidiary of Etsy - a global marketplace for unique and creative goods - but continues to operate as an independent company.

Depop is an equal opportunities employer. We aspire to establish the world's most inclusive and progressive fashion hub. In order to achieve this, we strongly encourage applications from individuals belonging to underrepresented communities. We embrace diversity and are dedicated to creating a supportive and inclusive environment for all staff. We are continuously striving to foster recruitment processes that are fair and unbiased and appreciate any requests for reasonable adjustments needed during your interview experience with us. Depop supports visa sponsorship, with opportunities potentially limited to certain roles and skillsets.

Job Description

Depop is seeking to hire a talented Data Scientist for our Recommendations team based in the UK. As part of the Recommendations team, you will work closely with a Product Manager, Backend Engineers and other Data Scientists. You will play a pivotal role in creating cutting-edge recommendation systems.

Responsibilities

You will:

• Research, design, and implement machine learning solutions to address challenges within personalisation and recommendation space
• Optimise and enhance existing solutions to improve performance metrics and deliver higher business impact
• Understand requirements from various stakeholders across the business, by transforming business needs into machine learning solutions
• Design and execute large-scale experiments to test hypotheses and steer product development
• Stay updated with latest research trends with the possibility to implement these in the product
• Participate actively in team ceremonies (following the agile course, technical whiteboarding sessions, product road mapping, etc.)
• Report and present technical findings to both technical and non-technical audiences

Qualifications

• A degree in a quantitative subject such as Computer Science, Mathematics, Statistics, Economics or equivalent industry experience
• Proficiency in Python with the ability to write production-grade code
• Solid understanding of machine learning and data science concepts, familiar with common frameworks like scikit-learn, TensorFlow, or PyTorch
• Demonstrated ability to design machine learning solutions to resolve business problems employing best practices (including data cleaning, model development)
• Collaborative and humble team player with the capacity to work with cross-functional teams, encompassing technical and non-technical stakeholders
• Passion for constant learning and staying up-to-date with ML algorithms

Bonus points

• Experience with Databricks and PySpark
• Experience with AWS or other cloud platforms (GCP/Azure)
• Experience in recommendation, personalisation or search algorithms
• Experience with experiment design and conducting A/B tests

Additional Information

UK Benefits
Health + Mental Wellbeing

• Private medical insurance and cash plan healthcare access with Bupa
• Subsidised counselling and coaching - we partner with Selfspace to provide you with access to professional counselling
• Cycle-to-work scheme - partner with Evans or the Green Commute Initiative to facilitate your commute with a bicycle
• Employee Assistance Programme (EAP) - provides 24/7 confidential expert advice and support
• Mental Health First Aiders - trained personnel located throughout the business to provide support and guidance

Work/Life Balance

• 25 days of annual leave with the option to roll over up to 5 days
• 1 company-wide day off per quarter for personal downtime
• Impact hours: At Depop, we offer all full-time employees up to the equivalent of two additional paid leave days per year for volunteering. This time is allocated in hours to allow flexibility in supporting your community.

Flexible Working
MyMode is our hybrid-working model, designed to give our employees autonomy in choosing their work mode. MyMode includes three work modes: Flex, Office-Based, and Remote.

• Flex: we encourage you to visit your nearest Depop office once a week; you can work from home the remaining days.
• Office-Based: If you prefer, you can opt to work mainly from the office and get allocated a personal desk.
• Remote: Depending on your role, you can opt to work remotely and are required to visit the office only four times a year.

All our offices are dog-friendly! Enjoy working alongside your four-legged friend.
You can also apply to work from a foreign location for up to 4 weeks every year (applicable to UK tax treaty countries).

Family Life

We aim to support parents and encourage shared parenting responsibilities through our flexible, gender-neutral parental leave policies. All our regular full-time employees are eligible for 18 weeks of paid parental leave for the birth or adoption of a child. We also offer IVF leave, shared parental leave, and paid emergency parent/carer leave.

Learning and Growth

• We provide budgets for conferences, learning subscriptions, and more. We also sponsor and host a variety of programmes, conferences, and meet-ups to enhance our employees' skills and experiences.

Your Future

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

Last but not least, as a valued Depop employee, we waive all selling fees, meaning you can ship your sold items anywhere in the UK free of cost.