About this role

Marketplace Quant

San Francisco, onsite

What You Will Do

Apply quantitative methods to analyze and improve marketplace dynamics, including balancing supply and demand and optimizing pricing signals.
Build and maintain data pipelines and analytical workflows using Python and R to enhance marketplace intelligence.
Design and interpret experiments, such as A/B tests and causal inference studies, to assess the impact of product changes on performance.
Develop metrics and dashboards that track marketplace health, providing actionable insights for cross-functional teams.
Utilize tools like Airtable and Zapier to automate data collection and operational workflows.
Translate complex quantitative findings into clear, actionable recommendations for non-technical stakeholders.
Collaborate with engineering and product teams to integrate quantitative models and insights into platform features.

Ideal Candidate Background

2–8 years of experience in a quantitative or data science role, preferably in a marketplace or platform environment.
Strong proficiency in Python and/or R for data analysis, statistical modeling, and automation.
Solid understanding of marketplace economics, including liquidity and incentive structures.
Experience designing and analyzing experiments with rigorous statistical methodologies.
Comfortable using tools like Airtable and Zapier to operationalize data workflows.

Preferred

Familiarity with data visualization tools such as Looker, Mode, or Tableau.
Experience in marketplace analytics, incentive design, or data-driven operations.
Proven ability to communicate quantitative insights clearly to diverse audiences.

Compensation and Benefits

Base salary ranges from $150,000 to $250,000 annually, commensurate with experience and skill set. This is an opportunity to join a growing, impact-driven organization with a competitive total compensation package.

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At Recruiting from Scratch an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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