Staff Data Scientist, Marketplace Analytics

This is a fully remote position, open to applicants in New York.

📋 Description

• Spearheading experimentation and analytical strategies across product development, growth initiatives, monetization, marketing efforts, and operational projects, often concurrently.

• Utilizing causal inference techniques (such as difference-in-differences, synthetic controls, propensity score methods, and Bayesian experimentation) to address real business challenges when traditional A/B testing is not applicable.

• Collaborating closely with directors and senior leaders to define intricate, cross-functional issues and convert insights into actionable recommendations.

• Enhancing experimentation frameworks, metrics strategies, and analytical precision across teams by creating scalable methods for measurement, segmentation, forecasting, and incrementality.

• Shaping roadmap prioritization and business strategy through thorough analysis and effective communication of trade-offs and uncertainties.

• Providing mentorship and skill development for data scientists and analysts throughout the organization on experimentation, causal inference, and statistical best practices.

• Collaborating with Engineering, Product, and Machine Learning teams on instrumentation, data infrastructure, and analytical tools.

• Incorporating generative AI technologies into daily operations to automate processes, stimulate innovation, and enhance analytical efficiency.

⛳️ Requirements

• Over 8 years of experience in Data Science, Product Analytics, Applied Analytics, or Experimentation.

• A Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Machine Learning, Artificial Intelligence, Economics, Physics, or a related discipline.

• Proven experience partnering with senior stakeholders in Product, Marketing, Revenue, Sales, Operations, or Customer Experience sectors to leverage data for strategic initiatives.

• Extensive experience in experimentation at scale, including the application of causal inference methodologies in complex, real-world business scenarios.

• Advanced proficiency in SQL and strong fluency in Python, with the capability to navigate large, intricate datasets.

• The proficiency to integrate generative AI tools into daily workflows for task automation, innovation facilitation, and productivity enhancement.

• Familiarity with domains such as pricing and monetization analytics, growth and retention strategies, customer segmentation and lifecycle management, marketing attribution, incrementality, or operational and marketplace analytics.

• Experience in dynamic, high-growth settings such as consumer technology, SaaS, fintech, marketplaces, or platform companies is highly desirable.

• A sense of humility — you believe in treating everyone with dignity and respect, irrespective of their title or tenure.

🏝️ Benefits

• Unlimited Vacation

• 100% paid health benefits for employees (including medical, dental, and vision)

• Commuter Benefits

• 401(k) plan with employer-funded matching

• Corporate wellness program featuring Wellhub

• Sabbatical leave for employees with over 5 years of service

• Competitive paid parental leave and reimbursement for fertility/family planning

• Cell phone reimbursement

• Daily catered lunch along with beverages and snacks

• Employee Resource Groups and ZocClubs to foster community and belonging

• Certified as a Great Place to Work