Associate Machine Learning Scientist

DEPOP; London; On-site; GBP 40,000 - 70,000; Full time

Job description

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 Scientists, 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)