Associate Machine Learning Scientist

Associate Machine Learning Scientist

Team:Engineering & Data

Location:Depop - London

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 . For any other non-disability related questions, please reach out to our Talent Partners.

Life is about creating. That's why we're home to over 30 million artists, stylists, designers, sneakerheads — and you? We're the community-powered, circular-minded marketplace changing the world of online fashion. Now it's time to get inspired at Depop.

Responsibilities

Job description

The Role:

Depop is looking for a dedicated Associate Machine Learning Scientist to join one of our teams.

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.

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)