Data Scientist – Intern
Posted on 10/27/2023
INACTIVE
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

-8%

1 year growth

-2%

2 year growth

27%
Locations
United States
Experience Level
Intern
Desired Skills
Python
Data Science
Data Structures & Algorithms
SQL
Pandas
Natural Language Processing (NLP)
NumPy
Computer Vision
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • Brand (marketplace quality improvement, NLP and/or Computer Vision background preferred)
  • We're looking for someone with experience working on projects related to the fields above and who are eager to wake up ready to take a problem end-to-end, dive into our information-rich databases, and produce actionable insights
  • Our internships are paid and 12-to-14 weeks in duration. We have flexible start dates and are open to extending internship durations based on need and mutual fit
  • We are open to currently enrolled Master's & PhD students and recent Master's & PhD graduates, who have an 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)
  • A track record of developing end-to-end Data Science projects and/or producing academic papers that have been showcased in top journals or conferences
  • Salary Range
  • California / New York: the pay range for this role is $51.90 - $71.40 per hour
  • Colorado / Washington / New Jersey: the pay range for this role is $46.65 - $64.20 per hour
  • This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future
  • Faire's flexible work model aims to meet the needs of our diverse employee community by making work more flexible, connected, and inclusive. Depending on the role and needs of the team, Faire employees have the flexibility to choose how they work-whether that's mainly in the office, remotely, or a mix of both
  • Roles that list only a country in the location are eligible for fully remote work in that country or in- office work at a Faire office in that country, provided employees are located in the registered country/province/state. Roles with only a city location are eligible for in-office or hybrid office work in that city. Our talent team will work with candidates to determine what locations and roles are eligible for each option
  • Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Salt Lake City, Atlanta, Toronto, London, New York, LA, and Sao Paulo. To learn more about Faire and our customers, you can read more on our blog
  • Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
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