Associate Machine Learning Scientist

Company Description

Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy. Find out more at www.depop.com 

Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.

If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com. For any other non-disability related questions, please reach out to our Talent Partners.

Role

Depop is looking for a dedicated Associate Machine Learning Scientist to join our Pricing team. You will work alongside a cross-functional team of Product Managers, Engineers, Analysts and other Machine Learning Scientist, playing a key role in building machine learning models to power Depop’s pricing recommendations and optimisation strategies.

Responsibilities:

• Research, design, and deliver machine learning solutions to tackle problems within the pricing and product matching space

• Understand requirements from various stakeholders across the business and design machine learning solutions to solve applied business problems

• Design and conduct large-scale experiments to test hypotheses and drive product development

• Keep up to date with applied research, contribute to knowledge sharing and apply new techniques for prediction, information retrieval, text and image processing, causal inference, and optimisation

• Participate in team ceremonies (e.g. following the agile cadence, technical whiteboarding sessions, planning and product roadmapping)

• Report and present technical findings to technical and non-technical audiences

Skills and Experience:

• Experience developing ML models to solve real-world problems, experience working as a Data Scientist or Machine Learning Scientist

• Proficiency in Python

• Solid understanding of machine learning concepts, familiarity working with frameworks such as TensorFlow or PyTorch

• 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 applied ML developments

Bonus Points

• Experience with pricing models, causal inference, or revenue optimisation

• Experience with NLP, image processing, information retrieval, and deep learning models

• Experience with experiment design and conducting A/B tests

• Experience with Databricks and PySpark

• Experience working with AWS or another cloud platform (GCP/Azure)

Additional Information

Health + Mental Wellbeing

• PMI and cash plan healthcare access with Bupa

• Subsidised counselling and coaching with Self Space

• Cycle to Work scheme with options from Evans or the Green Commute Initiative

• Employee Assistance Programme (EAP) for 24/7 confidential support

• Mental Health First Aiders across the business for support and signposting

Work/Life Balance:

• 25 days annual leave with option to carry over up to 5 days

• 1 company-wide day off per quarter

• Impact hours: Up to 2 days additional paid leave per year for volunteering

• Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love.

• Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependant

• All offices are dog-friendly

• Ability to work abroad for 4 weeks per year in UK tax treaty countries

Family Life:

• 18 weeks of paid parental leave for full-time regular employees

• IVF leave, shared parental leave, and paid emergency parent/carer leave

Learn + Grow:

• Budgets for conferences, learning subscriptions, and more

• Mentorship and programmes to upskill employees

Your Future:

• Life Insurance (financial compensation of 3x your salary)

• Pension matching up to 6% of qualifying earnings

Depop Extras:

• Employees enjoy free shipping on their Depop sales within the UK.

• Special milestones are celebrated with gifts and rewards!