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47 Faire Data Scientist Jobs Hiring Near You

Faire

Senior Staff Machine Learning Platform Engineer

$295K - $405K/yr

Serve as senior ML technical advisor to Faire's data science and production engineering teams * Represent Faire at ML conferences and meetups * Mentor ML engineers and raise the overall bar for ...

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

At Faire, we're using the power of tech, data, and machine learning to connect this thriving ... Our Data Science team builds and maintains the algorithmic systems - spanning search ...

Faire

Data Science Intern

San Francisco, CA

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Faire

Senior Data Recruiter

San Francisco, CA

$148K - $203K/yr

About this role As a Senior Technical Recruiter at Faire, you will play a critical role in scaling ... disciplines (machine learning, data science, software engineering, or related fields)

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Infographic showing various Data Scientist job openings at Faire in the United States as of August 2026, with employment types broken down into 2% Internship, and 98% Full Time. Highlights an 98% Physical, and 2% Remote job distribution.

Staff Engineer - Experimentation Platform

Faire

San Francisco, CA

$231K - $318K/yr

Full-time

Posted 8 days ago

Job description

About this role:

Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance. 

This role is for a highly experienced technical leader specializing in experimentation infrastructure.

This role will influence and interact with all users of experiments functionality at Faire. From product teams and associated analytics engineering, to data scientists, Faire's Strategy and Analytics function, etc. This technical leader will define and execute a technology roadmap and set design and usage patterns in the experimentation space. Striking the right balance of technical leadership and hands-on development.

What you'll do:

  • Define and execute long-term strategy for experimentation and measurement company-wide.
  • Establish and develop a technology roadmap for a centralized experimentation platform powered by Eppo and integrated with Faire's data ecosystem. Including measurement infrastructure, experiment lifecycle, governance, self-service tooling, standards for experiment design, metric creation, result interpretation.
  • Partner with Faire's Strategy and Analytics group, Product Management, Data Science, and other functions who are key consumers of experiments infrastructure.

Qualifications:

Extensive software engineering experience with strong focus on experimentation, analytics infrastructure, and product development. Proficient in defining technical vision for experimentation and leading adoption across organizational boundaries.

  • Extensive experience designing, building, and scaling experimentation platforms in SaaS systems; focus on marketplace and e-commerce environments especially valuable.
  • Deep understanding of A/B testing, multivariate testing, feature rollout, progressive delivery techniques.
  • Ability to translate business objectives into experimentation and measurement capabilities.
  • Experience implementing and operating commercial or open-source experimentation platforms; Eppo experience especially valuable.
  • Strong understanding of experiment lifecycle management and key methodologies.
  • Experience collaborating across disciplines to ensure rigor and trustworthy decision-making.
  • Strong knowledge of modern data stacks; Snowflake and Databricks experience especially valuable.
  • Expertise in data quality and observability tools; Anomalo experience especially valuable.
  • Strong SQL skills and ability to design scalable analytical data models.
  • Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.

Salary range:

San Francisco: the pay range for this role is $231,000 to $318,000 per year. 

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.

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