Senior Data Scientist

Join Peerspace as a Senior Data Scientist, where you'll partner with our Product, Engineering, and Design teams to understand user engagement, product performance, and marketplace dynamics. You'll develop measurement frameworks, align cross-functional stakeholders, design and analyze experiments, and dive deep into user behavior. This role requires strong analytical skills, experience in data science or product analytics, and the ability to manage diverse stakeholders.

• Collaborate with Product, Engineering, and Design teams to set goals, understand user engagement, and learn from experiments in the marketplace.
• Develop measurement frameworks and reporting systems to understand the marketplace and users, and align cross-functional stakeholders on analytical priorities.
• Design and analyze experiments, dive deep into user behavior, and unpack business trends to diagnose drivers of business performance.

• Is curious about how users engage with a product, and what this might mean for what the business should build or prioritize next
• Dives deeply into ambiguous questions, and refines them into clear problem statements that address what the business really cares about or what really matters to our users
• Has a strong interest in using data to understand and address business and user problems
• Can manage a diverse set of stakeholders and drive cross-functional alignment on analytical priorities
• Is self motivated and can unblock themselves when the perfect dataset isn’t readily available or the business question isn’t clearly articulated
• Experience in at least one data-oriented language like Python, R or Julia
• Experience building visualizations with Tableau, Looker or similar BI platforms
• Strong SQL skills and comfort working with large datasets
• Proficient in communicating insights to business partners
• 5+ years of experience in data science, product analytics, or similar functions
• Bachelor's degree in a quantitative or technical field (e.g., Statistics, Economics, Math, Computer Science, Engineering)
• Ability to manage cross-functional stakeholders and prioritize an analytics roadmap in a dynamic environment with competing priorities
• Experience applying statistics and experiment design in a business context
• Experience with another two-sided marketplace
• Experience applying causal inference, predictive modeling or other advanced statistical methods in a business context