Data Scientist – Intern
Confirmed live in the last 24 hours
Faire

1,001-5,000 employees

Online retailer
Company Overview
Faire's mission is to help small businesses come together to compete on a more level playing field with the likes of Walmart and Amazon. Today, Faire is the online marketplace where retailers discover their next bestsellers from independent brands across the globe.
Data & Analytics
Consulting
AI & Machine Learning
Real Estate
Consumer Goods
B2B

Company Stage

Series G

Total Funding

$1.7B

Founded

2017

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

-6%

1 year growth

-1%

2 year growth

37%
Locations
United States
Experience Level
Intern
Desired Skills
Python
Data Science
Data Structures & Algorithms
SQL
Pandas
NumPy
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • Currently enrolled Master’s & PhD students or recent Master’s & PhD graduates
  • Academic focus in Computer Science, Operations Research, Statistics, Econometrics or a 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
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
Desired Qualifications
  • Experience with search/query processing for product development preferred
  • Experience with personalization, ranking, and recommendation preferred
  • Experience working on projects related to search, content-based recommendations, personalized retrieval and ranking, user signals building, etc.