Associate Machine Learning Scientist page is loaded
Associate Machine Learning ScientistApply remote type Partially Remote locations London, UK time type Full time posted on Posted 6 Days Ago job requisition id JR4784
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 atwww.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.
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)
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:
Depop Extras:
About Us
Depop is the community-powered fashion marketplace to buy and sell circular fashion, with over 30 million registered users in more than 150 countries. Depop is a place for anyone to discover and celebrate their style on their own terms, and to feel good about their fashion choices by extending the lives of millions of garments.
The company was founded in 2011 and is headquartered in London with offices in Manchester and New York. Depop has approximately 400 employees dedicated to its mission of building the world’s most diverse progressive home of fashion, that’s kinder on the planet and kinder to people. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company.
Keep up to date
Want to learn more about life at Depop?
We share life at Depop updates on our LinkedIn page, and you can also keep an eye on all our job opportunities on our careers page.
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