About the position
Faire is an online wholesale marketplace that aims to empower local retail businesses by using machine learning and data insights to help them compete against big box stores and e-commerce giants. They are looking for interns to join their Data Science team and work on projects related to financial products and marketplace optimization, as well as brand quality improvement using NLP and/or Computer Vision. The interns will be responsible for executing cutting-edge machine learning algorithms, communicating project objectives and results, and addressing complex issues inherent in managing a two-sided marketplace. The internship is paid and lasts 12-to-14 weeks, with flexible start dates and the possibility of extension based on need and mutual fit.
Responsibilities
- Define, plan and execute cutting-edge machine learning or other new algorithms that will be a/b tested with guidance from a manager or technical lead
- Communicate project objectives and results clearly, both within the group as well as to the broader team
- Tackle complex issues inherent in managing a two-sided marketplace. Your ability to identify and address these challenges will be critical to our continued growth and success
Requirements
- Currently enrolled Master's & PhD students or recent graduates with academic focus in Computer Science, Operations Research, Statistics, Econometrics or related technical field
- Hands-on experience with real datasets and familiarity using python, sklearn, numpy, pandas, and SQL
- Familiarity with various machine learning techniques and statistical methodologies (Bayesian methods, experimental design, causal inference)
- Track record of developing end-to-end Data Science projects and/or producing academic papers showcased in top journals or conferences