Faire

About Faire

Empowering retailers with unique wholesale merchandise

🏢 Tech👥 251-1K📅 Founded 2017📍 San Francisco, California, United States

Key Highlights

  • Over 20,000 brands available on the platform
  • $266 million raised in funding to date
  • Valued at $1 billion as of 2021
  • Remote-friendly work environment

Faire is a wholesale marketplace headquartered in San Francisco, California, that connects independent retailers with unique merchandise from over 20,000 brands. The platform offers flexible payment terms and free returns, making it easier for retailers to stock their stores with distinctive product...

🎁 Benefits

Employees enjoy competitive salaries, equity options, generous PTO, and a remote-friendly work policy. Faire also offers a learning and development bu...

🌟 Culture

Faire fosters a culture of innovation and inclusivity, encouraging employees to take ownership of their projects and contribute to the company's missi...

Faire

Data Scientist Senior

FaireSan Francisco

Posted 1d agoSeniorData ScientistMachine Learning Engineer📍 San Francisco💰 $192,000 - $264,000 / yearly
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Overview

Faire is seeking a Senior Data Scientist / Machine Learning Engineer to enhance product listing quality through data insights and machine learning models. You'll work with Python and SQL to drive improvements in the wholesale marketplace. This role requires strong expertise in data analysis and machine learning.

Job Description

Who you are

You have 5+ years of experience in data science or machine learning, with a strong background in building and deploying machine learning models that drive business impact. Your expertise in Python and SQL allows you to manipulate and analyze large datasets effectively, ensuring data quality and integrity. You are familiar with various machine learning algorithms and frameworks, enabling you to select the right tools for the job. You thrive in collaborative environments, working closely with cross-functional teams to translate business needs into technical solutions. You are passionate about leveraging data to solve complex problems and improve user experiences. You understand the importance of data ethics and strive to create models that are fair and unbiased.

Desirable

Experience in the wholesale or retail industry is a plus, as is familiarity with cloud platforms like AWS or GCP. Knowledge of data visualization tools such as Tableau or Looker can enhance your ability to communicate insights effectively. A background in statistical analysis or experimental design will help you contribute to data-driven decision-making processes.

What you'll do

As a Senior Data Scientist / Machine Learning Engineer at Faire, you will be responsible for improving the quality of product listings through advanced data analysis and machine learning techniques. You will design and implement algorithms that enhance the accuracy and relevance of listings, helping retailers find the best products for their stores. You will collaborate with product managers and engineers to integrate these models into the Faire platform, ensuring seamless functionality and user experience. You will analyze user behavior and listing performance to identify opportunities for improvement, conducting A/B tests to validate your hypotheses. You will also mentor junior data scientists, sharing your knowledge and best practices to foster a culture of learning and growth within the team. Your work will directly impact the success of independent retailers, empowering them to compete against larger entities in the marketplace.

What we offer

At Faire, you will be part of a mission-driven company that values community and supports local businesses. We offer competitive compensation and benefits, including health insurance, flexible working hours, and opportunities for professional development. You will work in a collaborative environment that encourages innovation and creativity, with access to the latest tools and technologies. Join us in making a positive impact on local economies and helping small businesses thrive in a competitive landscape.

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